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100-V MOSFETs cut on-resistance
Renesas 100-V N-channel MOSFETs leverage an improved wafer manufacturing process with split gate technology, reducing on-resistance (RDS(on)) by 30%. The REXFET-1 process also cuts total gate charge (Qg) by 10% and gate-to-drain charge (Qgd) by 40%, according to the company.
Designed for high-power applications, these MOSFETs provide high-current switching in motor control, battery management systems, power management, and charging. Typical end products include electric vehicles, e-bikes, charging stations, power tools, and uninterruptible power supplies.
Both the RBA300N10EANS and RBA300N10EHPF MOSFETs feature a standard gate drive voltage of 2.0 V to 4.0 V. Other key specifications include an RDS(on) of 1.5 mΩ, drain current (ID) of 340 A, Qg of 170 nC, and Qgd of 30 nC.
In addition to enhanced electrical characteristics, the RBA300N10EANS and RBA300N10EHPF MOSFETs are offered in TOLL and TOLG packages, respectively. These packages are pin-compatible with devices from other manufacturers and 50% smaller than conventional TO-263 packages. The TOLL package also has wettable flanks for optical inspection.
The RBA300N10EANS and RBA300N10EHPF MOSFETs are now available in production volumes. Renesas also offers a reference design and application note to help shorten design cycles.
Find more datasheets on products like this one at Datasheets.com, searchable by category, part #, description, manufacturer, and more.
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Reference design highlights GaN for motor drives
EPC offers a GaN-based motor drive inverter reference design for industrial and battery-powered applications. The EPC91200 demonstration board, built for 3-phase brushless DC motors, integrates the EPC2305, a 150-V, 3.0-mΩ GaN FET.
With a wide input voltage range of 30 V to 130 V, the EPC91200 supports 80-V and 110-V battery systems in industrial automation and material handling equipment. It delivers up to 40 ARMS (60 A pk) of output current and operates at PWM switching frequencies up to 150 kHz, demonstrating GaN technology’s efficiency, reliability, and adaptability in power systems.
An optimized PCB layout and GaN technology minimize resistance and heat generation, enhancing performance. The 130×100-mm demo board features current sensing, voltage monitoring, overcurrent protection, and temperature sensing. It also includes a preconfigured shaft encoder/Hall sensor interface and supports field-oriented control. Compatible with various controller boards from STMicroelectronics, Texas Instruments, and Microchip, the EPC91200 offers broad integration flexibility.
The EPC91200 reference design board costs $812.50 and is available from Digi-Key.
Find more datasheets on products like this one at Datasheets.com, searchable by category, part #, description, manufacturer, and more.
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GaN RF switch delivers 20 W
Built on a wide-bandgap GaN HEMT process, Teledyne’s TDSW84230EP reflective SPDT switch covers 30 MHz to 5 GHz, handling 20 W of continuous power. It is intended to replace PIN diode-based RF switches commonly used in the RF front ends of tactical and military communication radios.
The TDSW84230EP tolerates up to 900 mA/mm of saturation current, leveraging GaN’s high breakdown voltage and carrier density. Encased in a compact 3×3×0.8-mm, 16-pin QFN package, it offers 0.2-dB insertion loss and 45-dB port isolation, providing enhanced efficiency and saving board space over PIN diode architectures.
Qualified for operation over the military temperature range of -55°C to +125°C, the TDSW84230EP requires a positive supply voltage of 2.6 V to 5.25 V. Its internal charge pump is disabled to eliminate charge pump spurs in low-noise applications, while a -18-V supply is needed on the VCP pin.
The TDSW84230EP GaN RF switch is available now in commercial versions from Teledyne HiRel and authorized distributors.
Find more datasheets on products like this one at Datasheets.com, searchable by category, part #, description, manufacturer, and more.
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Murata introduces ultra-small chip inductor
At this month’s CES 2025 show, Murata unveiled what is claimed to be the world’s smallest 006003-inch (0.16×0.08 mm) chip inductor. This development offers a 75% volume reduction compared to the previous smallest product, the 008004-inch (0.25×0.125 mm) inductor.
“Following our success in introducing the world’s smallest multilayer ceramic capacitor (MLCC) in September 2024, our engineering teams are now developing a pioneering 006003-inch size chip inductor to further meet market demands,” says Takaomi Toi, general manager of Inductor Product Development at Murata Manufacturing.
“With the creation of the world’s smallest class prototype, we’re confident that this product represents an exciting addition to Murata’s extensive portfolio of market-leading chip inductors. This development continues to demonstrate Murata’s commitment to innovation and also marks a significant milestone in our quest to support the miniaturization and enhanced functionality of future electronic devices,” Toi said.
For more information about this chip inductor development, please contact Murata here.
Find more datasheets on products like this one at Datasheets.com, searchable by category, part #, description, manufacturer, and more.
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EDA tool tackles 3D IC design challenges
GENIO EVO, an integrated chiplet/package EDA tool from MZ Technologies, addresses thermal and mechanical stress in the pre-layout stage of 3D IC design. Set to be demonstrated at this month’s Chiplet Summit, GENIO EVO is the second generation of MZ’s flagship GENIO cross-fabric platform for system design. Like its predecessor, GENIO EVO enables co-design of chiplets, dies, silicon interposers, packages, and surrounding PCBs to meet area, power, and performance targets.
GENIO EVO integrates seamlessly with existing commercial implementation platforms or custom EDA flows through plugins. Operating at the architectural level, it provides optimal system choices for 2.5D or 3D multi-die designs. A new user interface supports a cross-hierarchical, 3D-aware design methodology that streamlines the system design process. By integrating IC and advanced packaging design, it ensures full system-level optimization, shorter design cycles, faster time-to-manufacturing, and improved yields.
The platform identifies and analyzes thermal and mechanical failures. It supports architectural exploration and what-if analysis in the early design stages to improve implementation predictability. By planning and managing high-pin-count interconnects in complex multi-fabric designs, it anticipates and avoids downstream thermal and mechanical issues.
GENIO EVO is available for immediate licensing. For more information, click the link below.
Find more datasheets on products like this one at Datasheets.com, searchable by category, part #, description, manufacturer, and more.
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Add one resistor to allow DAC control of switching regulator output
Whether its buck, boost, or buck/boost, internal or external switch, milliamps or tens of amps, a literal cornucopia of programmable output switching regulator/converter chips are commercially available. While the required external Ls and Cs (of course) vary wildly from topology to topology and chip to chip, (almost) all use exactly the same basic two-resistor network for output voltage programming shown in Figure 1. Its example buck type regulator was picked more or less arbitrarily, so please ignore the L and Cs and just focus on R1, R2, and (later) R3.
Figure 1 The (almost) universal regulator output programming network where Vout = Vsense(R1/R2 + 1) = 0.8v*(11.5 + 1) = 10v.
Wow the engineering world with your unique design: Design Ideas Submission Guide
For reasons known only to gurus of the mystic and marvelous monolithic realm, the precision Vsense feedback node voltage varies from type to type over a roughly 3:1 range from 0.50v to 1.5v. Recommended values for R1 vary too.
The point is the topology doesn’t vary. All (or at least most) conform faithfully to Figure 1. This surprising uniformity becomes very useful if your application requires DAC control of the output voltage. See Figure 2 for how this can be done with a positive polarity DAC and just one added resistor: R3.
Figure 2 Regulator output programming with a DAC and the KISS1 network where Vout = (Vc)*(R1/R2) = (2.5 to 0v) 4 = 0 to 10v.
Given reasonable choices for the DAC (e.g., 2.5v), numbers for R1 and Vsense from the regulator chip datasheet, and Vomax from your application requirements, here’s the KISS1 arithmetic:
- R2 = R1 Vcmax/Vomax
- R3 = R1/(Vomax/Vsense – R1/R2 – 1)
And, in the grand tradition of the KISS1 principle, that’s it. Ok, ok. Except maybe for a couple of (minor?) caveats. For example:
- Expression 2 above, and therefore the necessary value for R3, must shake out positive. I can’t think of a practical case where it wouldn’t, but there’s probably some perverse permutation of parameters out there where it won’t, and implementing negative resistors isn’t particularly simple.
- The relation between Vout and Vc is inverse. So, the digital version of Vc must be 1’s complemented (a totally KISS-bit of software arithmetic to flip all the bits, so 0s become 1s, and 1s become 0s) before being written to the DAC register.
- Vin must be adequate for the chosen chip to generate the chosen Vomax when Vc = 0. Duh.
So maybe it’s not really totally KISS1, just mostly.
1 Famous KISS principle: Is a footnote really necessary?
Stephen Woodward’s relationship with EDN’s DI column goes back quite a long way. Over 100 submissions have been accepted since his first contribution back in 1974.
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How TMDs can transform semiconductor manufacturing
While semiconductors remain in high demand, electronics engineers must stay abreast of associated developments that could eventually affect their work. Case in point: significant advancements in transition metal dichalcogenides (TMDs).
These two-dimensional materials are of particular interest to electronics engineers due to their structural phase and chemical composition; they possess numerous properties advantageous to electronic devices.
The 2D materials like TDM are prominent in the future semiconductor manufacturing landscape. Source: Nature
The ongoing semiconductor shortage has caused some engineers to delay projects or alter plans to acquire readily available supplies rather than those that are challenging to source. However, physical resource concentrations are more significant contributors to the shortage than actual scarcity.
When most of the critical raw materials used in semiconductor production come from only a few countries or regions, supply chain constraints happen frequently.
TDM learning curve
If it was possible to make the materials locally rather than relying on outside sources, electronics engineers and managers would enjoy fewer workflow hiccups. So, researchers are focusing on that possibility while exploring TMD capabilities. They are learning how to grow these materials in a lab while overcoming notable challenges.
One concern was making the growth occur without the thickness irregularities that often negatively affect other 2D materials. Therefore, this research team designed a shaped structure that controls the TMD’s kinetic activities during growth.
Additionally, they demonstrated an option to facilitate layer-by-layer growth by creating physical barriers from chemical compound substrates, forcing the materials to grow vertically. The researchers believe this approach could commercialize the production of these 2D materials. Their problem-solving efforts could also encourage others to follow their lead as they consider exploring how to produce and work with TMDs.
Semiconductor manufacturing is a precise process requiring many specific steps. For example, fluorinated gases support everything from surface-etching activities to process consistency. Although many production specifics will remain constant for the foreseeable future, some researchers are interested in finding feasible alternatives.
So, while much of their work centers around furthering the development of next-generation computer chips, succeeding in that aim may require prioritizing different materials, including TMDs. People have used silicon for decades. Although it’s still the best choice for some projects, electronics engineers and other industrial experts see the value in exploring other options.
Learning more about TMDs will enable researchers to determine when and why the materials could replace silicon.
TDM’s research phase
In one recent case, a team explored TMD defects and how these materials could impact semiconductor performance. Interestingly, the outcomes were not always adverse because some imperfections made the material more electrically conductive.
Another research phase used photoluminescence to verify the light frequencies emitted by the TMDs. One finding was that specific frequencies would characterize five TMDs with defects called chalcogen vacancies.
An increased understanding of common TMD defects and their impacts will allow engineers to determine the best use cases more confidently. Similarly, knowing effective and efficient ways to detect those flaws will support production output and improve quality control.
These examples illustrate why electronics engineers and managers are keenly interested in TDMs and their role in future semiconductors. Even if some efforts are not commercially viable, those involved will undoubtedly learn valuable details that shape their future progress.
Ellie Gabel is a freelance writer as well as an associate editor at Revolutionized.
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Tamron’s TAP-in Console: A nexus for camera lens update and control
Camera lenses were originally fully mechanical (and in some cases, still are; witness my Rokinon Cine optics suite). The user manually focused them, manually set the aperture, and manually zoomed them (for non-fixed-focal length optics, that is). Even when the aperture was camera body-controlled—in shutter-priority and fully auto-exposure modes, for example—the linkage between it and the lens was mechanical, not electrical, in nature.
Analogies between lenses and fly-by-wire aircraft are apt, however, as the bulk of today’s lenses are electronics-augmented and, perhaps more accurately, -dependent. Take, for example, optical image stabilization (OIS), which harnesses electromagnets paired with floating lens elements and multiple gyroscope and accelerometer sensors to counteract one-to-multiple possible variants of unwanted camera system movement:
- Axis rotation (roll)
- Horizontal rotation (pitch)
- Vertical rotation (yaw)
- And both horizontal and vertical motion (caused, for example, by imperfect panning)
Not only is OIS within the lens itself image quality-desirable (at admitted tradeoffs of added size, weight and cost), its effectiveness can be further boosted when paired with in-body image stabilization (IBIS) within the camera itself. Olympus’ (now OM Systems’) Sync IS and Panasonic’s conceptually similar, functionally incompatible Dual I.S. are examples of this mutually beneficial coordination, which of course requires real-time bidirectional electronic communication. Why, you might ask, is OIS even necessary if IBIS already exists? The answer is particularly relevant for telephoto lenses, where the deleterious effects of camera system movement are particularly acute given the lens’s narrow angle of view, and where subtle movement may be less effectively corrected at the camera body versus at the other end of the long lens mounted to it.
More modest but no less electronics-dependent lens function examples include:
- Motor-driven autofocus (controlled by focus-determining sensors and algorithms in the camera body)
- Electronics-signaled, motor-based aperture control (some modern lenses even dispense completely with the manual aperture ring, relying solely on body controls instead)
- And motor-assisted zoom
And user setting optimization (fine-tuned focus, for example) and customization (constraining the focus range to minimize autofocus-algorithm “hunting”, etc.) is also often desirable.
All these functions, likely unsurprisingly to you, are managed by in-lens processors running firmware which benefits from periodic updates to fix bugs, add features, and augment the compatibility list to support new camera models (a particularly challenging task for third-party lens suppliers such as aforementioned Rokinon, Sigma, and Tamron). I’ve come across several lens firmware update approaches, the first two most practically implemented when the camera and lens come from the same manufacturer (i.e., a first-party lens):
- The lens’ new firmware image is downloaded to a memory card, which is inserted in the connected camera and activated via an update menu option or control button sequence
- The lens and body are again mated, but this time the body is then USB-tethered to a computer running a manufacturer-supplied update utility
- The lens is directly USB-tethered to the computer, with a manufacturer-supplied update utility then run. The key downside to this approach, therefore its comparative uncommonness, is that it requires a dedicated USB port on the lens, with both size and potential dust and water ingress impacts
- And the approach we’ll be showcasing today, which relies on a lens manufacturer- and camera mount-specific USB port-inclusive intermediary docking station to handle communications between the lens and computer.
Specifically, today’s teardown victim is a Tamron TAP-in Console, this particular model intended for the Canon EF mount used by my Canon DSLRs and one of my BlackMagic Design video cameras (Nikon mount stock images of the TAP-01 from Tamron’s website follow)
Here are some example screenshots of Tamron’s TAP-in Utility software in action, with my Mac connected to my Tamron 15-30 mm zoom lens via the TAP-01E dock intermediary:
along with my 100-400 mm zoom lens:
And both lenses post-firmware updates through the same utility:
Tamron isn’t the only lens manufacturer that goes the intermediary dock route. Here, for example, is Sigma’s UD-01 USB Dock in action with the company’s Optimization Pro software and two of that supplier’s Canon EF mount zoom lenses (24-105 and 100-400 mm) that I own:
Enough with the conceptual chitter-chatter, let’s get to real-life tearing down, shall we? In addition to the TAP-in Console I’ve already screenshot-shown you in action, which I bought used back in January 2024 from KEH Camera for $34.88, I’d subsequently picked up another one for teardown purposes off eBay open-box for about the same price. However, after it arrived and I confirmed it was also functional, I didn’t have the heart to disassemble perfectly good hardware in a potentially permanently destructive manner. I decided instead to hold onto it for future gifting to a friend who also owns Canon EF-mount Tamron lenses, and instead bought one claimed to be a “faulty spares-and-repairs” from MPB for $9. After it arrived, and to satisfy my curiosity, I decided to hook it up. It seems to work just fine, too! Oh well…
By the way, that dock-embedded LED shown in the first photo only illuminates when the TAP-in Utility software is running on the computer and detects a valid lens installed in the mount:
As usual, I’ll start out with some outer-box shots (yes, even though the dock was advertised as a “faulty spares-and-repairs” it still came with the original box, cable and documentation):
Open it up:
(I suspect that in its original brand-new condition there was more padding, etc. inside)
and the contents tumble out (I’m being overly dramatic; I actually lifted them out and placed them on my desk as shown):
Here’s the USB-A to micro-USB power-and-data cable:
Re the just-mentioned “data”, I always find it interesting to encounter a ferrite bead (or not) and attempt to discern whether there was a logical reason for its presence or absence (or not):
A bit of documentation (here’s a PDF version), supplemented by online video tutorials:
And last, but not least, our patient, already-seen LED end first, and as usual accompanied by a 0.75″ (19.1 mm) diameter U.S. penny for size comparison purposes:
Two side views: one of the micro-USB connector:
and another, of the lens release button:
Finally, here’s the mount end, first body-capped:
and now uncapped and exposed:
See those four screws around the shiny outer circumference? You know what comes next, right?
The now-unencumbered shiny metal ring, as it turns out, consists of two stacked rings. Here are the top and bottom views of the outer (upper) one:
and the even shinier inner (lower) one:
If you’re thinking those look like “springs” on the bottom, you’re not off-base:
With the rings gone, my attention next turned to the two screws at the inside top, holding a black-colored assembly piece in place:
Four more screws around the inside circumference:
In the process of removing them, the locking pin also popped out:
As you can see, the pin is spring-loaded and normally sticks out from the dock’s mount. When you mate a lens with the dock, with the former’s bayonet tabs aligned with the latter’s recesses, the lens mount presses against the pin, retracting it flush with the dock mount. Subsequently rotating the lens into its fully mounted position mates the pin with a matching indentation on the lens mount, allowing the pin to re-extend and locking the lens in place in the process.
Pressing the earlier-seen side release button manually re-retracts the pin, enabling rotation of the lens in the opposite direction for subsequent removal.
Onward. With the four screws removed:
the middle portion of the chassis lifts away, revealing the PCB underneath:
In the process of turning the middle portion upside-down, the release button (now absent its symbiotic locking pin partner) fell out:
I had admittedly been a bit concerned beforehand that the dock might be nothing more than a high-profit-margin (the TAP-in Console brand-new price is $59) “dummy” USB connection-redirector straight to the mount contacts, with the USB transceiver intelligence built into the lens itself. Clearly, and happily so, my worries were for naught:
Two screws hold the contacts assembly in place:
Four more for the PCB itself:
And with that, ladies and gentlemen, we have achieved liftoff:
Let’s zoom in (zoom…camera lens accessory…get it? Ahem…) on that PCB topside first:
As previously mentioned, the TAP-in Console comes in multiple product options for various camera manufacturers’ lens mounts. My pre-dissection working theory, in the hope that the dock wasn’t just a “dummy” USB connection-redirector as feared, was that the base PCB was generic, with camera manufacturer mount hardware customization solely occurring via the contacts assembly. Let’s see if that premise panned out.
At left is the USB-C connector. At bottom is the connector to the ribbon cable which ends up at the mount contacts assembly (which we’ll see more closely shortly). But what’s that connector at the top for? I ended up figuring out the answer to that question indirectly, in the process of trying (unsuccessfully) to identify the biggest IC in the center of the PCB, marked:
846AZ00
F51116A
DFL
I searched around online for any other published references to “F51116A”, and found only one. It was for the Nikon version of the TAP-in Console (coincidentally the same version in the stock images at the beginning of this piece) and was in Japanese (which I can’t read, far from speak), but Google Translate got me to something I could comprehend. Two things jumped out at me:
- This time, the upper connector was used to ribbon-cable tether to the contacts assembly
- And the IC was marked somewhat differently this time, specifically in the first line
734AZ00
F51116A
DFL
So, here’s my revised working theory. The PCB itself is the same (with confirmation that you’ll shortly see), as are the bulk of the components mounted to it. The main IC is either a PLD or FPGA appropriately programmed for the intended product model, a model-specific ASIC, or a microcontroller with camera mount-specific firmware. And depending on the product variant, either the top or bottom connector (or maybe both in some cases) gets ribbon-cable-populated.
Let’s flip the PCB over now:
Not much to see versus the other side, comparatively, although note the LED at bottom and another (also unpopulated this time) connector to the right of it. And to my recent comments, note that the stamp on the right:
TAMRON
AY042-901
-0000-K1
exactly matches the markings shown on the PCB in the Nikon-version teardown.
About that contacts assembly I keep mentioning…here’s the “action” (electrically relevant) end:
And here’s the seemingly (at least initially) more boring side:
I thought about stopping here. But those two screws kept calling to me:
And I’m glad I listened to them. Nifty!
With that I’ll wrap up and, after the writeup’s published, see if I might be able to get it back together again…functionally, that is…mindful of the Japanese teardown enthusiast’s comments that “The lens lock release switch part was a bit of a pain to assemble (lol).” Reader thoughts are as-always welcomed in the comments!
—Brian Dipert is the Editor-in-Chief of the Edge AI and Vision Alliance, and a Senior Analyst at BDTI and Editor-in-Chief of InsideDSP, the company’s online newsletter.
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How neon lamps can replace LEDs in AC-powered designs
It’s not difficult to drive an LED indicator from the AC line, but it requires many active and passive components. It also poses safety challenges. EDN and Planet Analog blogger Bill Schweber explains how engineers can replace LEDs with neon lamps to design AC power-on indicators while addressing modern design challenges.
Read full story at EDN’s sister publication, Planet Analog.
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The post How neon lamps can replace LEDs in AC-powered designs appeared first on EDN.
Part 1: A beginner’s guide to the power of IQ data and beauty of negative frequencies
Editor’s Note: This is a two-part series where DI authors Damian and Phoenix Bonicatto explore IQ signal representation and negative frequencies to ease the understanding and development of SDRs.
Part 1 explains the commonly used SDR IQ signal representation and negative frequencies without the complexity of math.
Part 2 (to be published) presents a device that allows you to play with and display live SDR signal spectrums with negative frequencies.
IntroductionSoftware-defined radio (SDR) firmware makes extensive use of I/Q representation of the received and transmitted signal. This representation can simplify and add ease to the manipulation of incoming signal. I/Q data also allows us to work with negative frequencies. My goal here is to explain the I/Q representation and negative frequencies without the complexity usually invoked by obscure terms and non-intuitive mathematics. Also, I will present a device that you can build to allow you to play with and display live spectrums with negative frequencies. So, let’s get started.
Wow the engineering world with your unique design: Design Ideas Submission Guide
I/Q and quadrature conceptsWhat is I/Q data? “I” is short for in-phase and “Q” is short for quadrature. It’s the first set of SDR terms that sound mysterious and tends to put people off—let’s just call them I and Q. Simply, if you have a waveform, like you see on an oscilloscope, you can break it into two sinusoidal components—one based on a sine, and another based on a cosine. This is done by using the trig “angle sum identity”. The I and Q are the amplitudes of these components, so our signal is now represented as:
Where: “A” is the original signal amplitude and:
We have just created the in-phase signal, I*cos(ωt), and the quadrature signal, Q*sin(ωt). Just to add to the confusion, when we deal with the in-phase and quadrature signals together it is referred to as “quadrature signaling” …sigh.
[Note: In SDR projects IQ data (or I/Q data) is generally referring to the digital data pairs at each sample interval.]
Most signal processing textbooks work with exponentials to describe and manipulate signals. For example, a transmitted signal is always “real” and is typically shown as something like:
This is another formula that creates obfuscation and puts off people just starting out in signal processing and SDR. I will say that exponential notation creates cleaner mathematical manipulation, but my preference is to use the trig representation as I can see the signal in my mind’s eye as I manipulate the equations. Also, explaining your design to people who are not up on signal processing is much easier when using things everyone learned in high school. Note that, although most SDR simulations tools like MATLAB use the exponential for signal processing work, when it comes down to writing C code in an MCU, the trig representation is normally used.
Without going into it, this exponential representation is based on Euler’s formula, which is related to the beautiful and cleverly derived Euler’s equation.
Now, you may wonder why we would go through the trouble to convert the data to this quadrature form and what this form of the signal is good for. In receivers, for example, just using the incoming signal and mixing it with another frequency and extracting the data has worked since the early days of radio. To answer this, let’s look at a couple of examples.
Example of the benefits of quadrature formFirst, when doing simple mixing of an incoming signal you get, as an output, two signals—the sum of the incoming signal and the mix frequency, and the difference of these two frequencies. The following equation demonstrates this by use for the trig product identity:
To continue in your receiver, you typically need to filter one of these out, usually the higher frequency. (The unwanted resultant frequency is often called the image frequency, which is removed by an image filter.) In a digital receiver this filter can take some valuable resources (cycles and memory). Using the I/Q form above, a mix can be created that removes either just the sum or just the difference without filtering.
You can see how this works in Figure 1. First, define the mix signal in an I/Q format:
Mix Signal I part = cos(ωmt)
Mix Signal Q part = sin(ωmt)
Figure 1 Quadrature (complex-to-complex) mix returning the lower frequency.
(There is more to this, but this mix architecture is the basic idea of this technique.)
You can see that only the lower frequency is output from the mixer. If you want the higher frequency and to remove the lower frequency, just change where the minus sign is in the final additions as shown in Figure 2.
Figure 2 Quadrature mix returning the higher frequency.
This quadrature, or complex-to-complex, mixing is a very powerful technique in SDR designs.
Next, let’s look at how I/Q data can allow us to play with negative frequencies.
When you perform a classical (non-quadrature) mix, any result that you get cannot go below a frequency of zero. The result will be two new frequencies: the sum of the input frequencies and the absolute value of the difference. This absolute value means the output frequencies cannot go negative. In a quadrature mixer the frequency is not constrained with an absolute value function, and you can get negative frequencies.
Let’s think about what this means if you are sweeping one of the inputs. In the classical mixer as the two input frequencies approach each other, the difference frequency will approach 0 Hz and then start to go back up in frequency. In a quadrature mixer the difference frequency will go right through 0 Hz and continue getting more and more negative.
One implication of this is that, in a sampled system you’re working on, bandwidth is the sample rate divided by 2. When using a quadrature representation, you have a working bandwidth that is twice as large. This is especially handy when you have a system where you want to deal with a large range of frequencies at a time. You can move any of the frequencies to baseband; the higher frequencies will stay in their relative position in the positive frequencies; and the lower frequencies will stay in their relative positions in the negative frequencies. You can slide up and down, by mixing, without image filters or corrupting the spectrum with images. Another very powerful technique in SDR designs.
A tool for exploring IQ dataThis positive and negative spectrum is very interesting but unfortunately the basic FFT on your oscilloscope probably won’t display them. It typically only displays positive frequencies. Vector network analyzers (VNAs) can display negative frequency but not all labs have one. You can play around in tools like MATLAB, but I usually like something a little closer to actual hardware and more real-time to get a better feel for the concept. A signal generator and a scope always help me. But I already said a scope does not display negative frequency. Well, the tool presented in Part 2 will allow us to play with I/Q data, negative frequencies, and mixing.
[Editor’s Note: An Arduino-Nano-based device will be presented in Part 2 that can generate IQ samples based upon user frequency, amplitude, and phase settings. This generated data will then display the spectrum showing both positive and negative frequencies. Stay tuned for more!]
Damian Bonicatto is a consulting engineer with decades of experience in embedded hardware, firmware, and system design. He holds over 30 patents.
Phoenix Bonicatto is a freelance writer.
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The post Part 1: A beginner’s guide to the power of IQ data and beauty of negative frequencies appeared first on EDN.
The 2025 CES: Safety, Longevity and Interoperability Remain a Mess
Once again this year, I’m thankfully reporting on CES (formerly also known by its de-acronym’d “Consumer Electronics Show” moniker, although the longer-winded version is apparently no more) from the remote comfort of my home office. There are admittedly worse places to visit than Las Vegas, especially given its newfound coolness courtesy of the Sphere (which I sadly have yet to experience personally):
That said, given the option to remain here, I’ll take it any day, realizing as I say this that it precludes on-camera cameos…which, come to think of it, is a plus for both viewers and myself!
(great job, Aalyia!)
Anyhoo, I could spend the next few thousand words (I’m currently guesstimating, based on repeated past experience, which in some years even necessitated a multi-part writeup series), telling you about all the new and not-new-but-maturing products and technologies showcased at the show. I’ll still do some of that, in part as case study examples of bigger-picture themes. But, to the title of this writeup, this year I wanted to start by stepping back and discussing three overriding themes that tainted (at least in my mind) all the announcements.
Safety
(Who among you is, like me, old enough to recognize this image’s source without cheating by clicking through first?)
A decade-plus ago, I told you the tale of my remote residence-located Linksys router that had become malware-infected:
Ever since then, I’ve made it a point to collect news tidbits on vulnerabilities and the attack vectors that subsequently exploit them, along with manufacturers’ subpar compromise responses. It likely won’t surprise you to learn that the rate of stories I’ve accumulated has only accelerated over time, as well as broadened beyond routers to encompass other LAN and WAN-connected products. I showcased some of them in two-part coverage published five years ago, for example, and disassembled another (a “cloud”-connected NAS) just a few months back.
The insecure-software situation has become so rampant, in fact, that the U.S. Federal Communications Committee (FCC) just unveiled a new program and associated label, the U.S. Cyber Trust Mark, intended to (as TechCrunch describes it) “help consumers make more informed decisions about the cybersecurity of the internet-connected products they bring into their homes.” Here’s more, from Slashdot’s pickup of the news, specifically referencing BleepingComputer’s analysis:
It’s designed for consumer smart devices, such as home security cameras, TVs, internet-connected appliances, fitness trackers, climate control systems, and baby monitors, and it signals that the internet-connected device comes with a set of security features approved by the National Institute of Standards and Technology (NIST). Vendors will label their products with the Cyber Trust Mark logo if they meet NIST cybersecurity criteria. These criteria include using unique and strong default passwords, software updates, data protection, and incident detection capabilities. Consumers can scan the QR code included next to the Cyber Trust Mark labels for additional security information, such as instructions on changing the default password, steps for securely configuring the device, details on automatic updates (including how to access them if they are not automatic), the product’s minimum support period, and a notification if the manufacturer does not offer updates for the device.
Candidly, I’m skeptical that this program will be successful, even if it survives the upcoming Presidential administration transition (speaking of which: looming trade war fears weighed heavily on folks’ minds at the show) and in spite of my admiration for its honorable intention. As reader “Thinking_J” pointed out in response to my recent teardown of a Bluetooth receiver that has undergone at least one mid-life internal-circuits switcheroo, the FCC essentially operates on the “honor system” in this and similar regards after manufacturers gain initial certification.
One of the root causes of such vulnerabilities, IMHO, is any reliance on open-source code, no matter that doing so may ironically also improve initial software quality. Requoting myself:
Open-source software has some compelling selling points. For one thing, it’s free, and the many thousands of developer eyeballs peering over it generally result in robust code. When a vulnerability is discovered, those same developers quickly fix it. But among those thousands of eyeballs are sets with more nefarious objectives in mind, and access to source code enables them to develop exploits for unpatched, easily identified software builds.
I also suspect that at least some amount of laissez-faire tends to creep into the software-development process when you adopt someone else’s code versus developing your own, especially if you subsequently “forget” to make proper attribution and take other appropriate action regarding that adoption. The result is a tendency to overlook the need to maintain that portion of the codebase as exploits and broader bugs in it are discovered and dealt with by the developer community or, more often than note, the one-and-only developer.
Sometimes, though, code-update neglect is intentional:
Consumer electronics manufacturers as a rule make scant (if any) profit on each unit sold, especially after subtracting the “percentage” taken by retailer intermediaries. Revenue tangibly accrues only as a function of unit volume, not from per-unit profit margin. Initial-sale revenue is sometimes supplemented by after-sale firmware-unlocked feature set updates, services, and other add-ons. But more often than not, a manufacturer’s path to ongoing fiscal stability involves straightforwardly selling you a brand-new replacement/upgrade unit down the road; cue obsolescence by design for the unit currently in your possession.
Which leads to my next topic…
Longevity
One of the products “showcased” in my August 2020 writeup didn’t meet its premature demise due to intentionally unfixed software bugs (as was the case for a conceptually similar product in Belkin’s Wemo line, several examples of which I owned when the exploit was announced). Instead, its early expiration was the result of an intentional termination of the associated “cloud” service done by its retail supplier, Best Buy (Connect WiFi Smart Plug shown above).
More recently, I told you about a similar situation (subsequently resolved positively via corporate buyout and resurrection, I’m happy to note) involving SmartLabs’ various Insteon-branded powerline networking products. Then there was the Spotify Car Thing, which I tore down in early 2023. And right before this year’s CES opened its doors to the masses, ironically, came yet another case study example of the ongoing disappointing trend: the $800 (nope, no refunds) Moxie “emotional support” robot, although open source (which, yes, I know I just critiqued earlier here) may yet come to the rescue for the target 5-10 year old demographic:
Government oversight to the rescue, again (?). Here’s a summary, from Slashdot’s highlight:
Nearly 89% of smart device manufacturers fail to disclose how long they will provide software updates for their products, a Federal Trade Commission staff study found this week. The review of 184 connected devices, including hearing aids, security cameras and door locks, revealed that 161 products lacked clear information about software support duration on their websites.
Basic internet searches failed to uncover this information for two-thirds of the devices. “Consumers stand to lose a lot of money if their smart products stop delivering the features they want,” said Samuel Levine, Director of the FTC’s Bureau of Consumer Protection. The agency warned that manufacturers’ failure to provide software update information for warranted products costing over $15 may violate the Magnuson Moss Warranty Act. The FTC also cautioned that companies could violate the FTC Act if they misrepresent product usability periods. The study excluded laptops, personal computers, tablets and automobiles from its review.
Repeating what I said earlier, I’m skeptical that this effort will be successful, despite my admiration for its honorable intentions. In no small part, my pessimism stems from recent US election results, given that Republicans have (historically, at least) been disproportionally pro-business to the detriment of consumer rights. That said, were the manufacturer phase-out to instead be the result of something other than the shutdown of a proprietary “cloud” service, such as (for example) a no-longer-maintained-therefore-viable (or at-all available, for that matter) proprietary application, the hardware might still be usable if it could alternatively be configured and controlled using industry-standard command and communications protocols.
Which leads to my next topic…
Interoperability
Those of you who read to the bitter end of my recently published “2024 look-back” tome might have noticed a bullet list of topics there that I’d originally also hoped to cover but eventually decided to save for later. The first topic on the list, “Matter and Thread’s misfires and lingering aspirations,” I held back not just because I was approaching truly ridiculous wordcount territory but also because I suspected I’d have another crack at it a short time later, at CES to be precise.
I was right; that time is now. Matter, for those of you not already aware, is:
…a freely available connectivity standard for smart home and IoT (Internet of Things) devices. It aims to improve interoperability and compatibility between different manufacturers and security, always allowing local control as an option.
And Thread? I thought you’d never ask. It’s:
…an IPv6-based, low-power mesh networking technology for Internet of things (IoT) products…
Often used as a transport for Matter (the combination being known as Matter over Thread), the protocol has seen increased use for connecting low-power and battery-operated smart-home devices.
Here’s what I wrote about Matter and Thread a year ago, in my 2024 CES discourse:
The Matter smart home communication standard, built on the foundation of the Thread (based on Zigbee) wireless protocol, had no shortage of associated press releases and product demos in Las Vegas this week. But to date, its implementation has been underwhelming (leading to a scathing but spot-on recent diatribe from The Verge, among other pieces), both in comparison to its backers’ rosy projections and its true potential.
Not that any of this was a surprise to me, alas. Consider that the fundamental premise of Matter and Thread was to unite the now-fragmented smart home device ecosystem exemplified by, for example, the various Belkin Wemo devices currently residing in my abode. If you’re an up-and-coming startup in the space, you love industry standards, because they lower your market-entry barriers versus larger, more established competitors. Conversely, if you’re one of those larger, more established suppliers, you love barriers to entry for your competitors.
Therefore the lukewarm-at-best (and more frequently, nonexistent or flat-out broken) embrace of Matter and Thread by legacy smart home technology and product suppliers (for which, to be precise, and as my earlier Blink example exemplifies, conventional web browser access, vs a proprietary app, is even a bridge too far)…Suffice it to say that I’m skeptical about Matter and Thread’s long-term prospects, albeit only cautiously so. I just don’t know what it might take to break the logjam that understandably prevents competitors from working together, in spite of the reality that a rising tide often does end up lifting all boats…or if you prefer, it’s often better to get a slice of a large pie versus the entirety of a much smaller pie.
A year later, is the situation better? Not really, candidly. For a more in-depth supplier-sourced perspective, I encourage you to read Aalyia’s coverage of her time spent last week in Silicon Labs’ product suite, including an interview with Daniel Cooley, CTO of the company. Cooley is spot-on when he notes that “it is not unusual for standards adoption to progress slower than desired.” I’ve seen this same scenario play out plenty of times in the past, and Matter and Thread (assuming they eventually achieve widespread success) won’t be the last. I’m reminded, for example, of a quote attributed to Bill Gates, that “We always overestimate the change that will occur in the next two years and underestimate the change that will occur in the next 10.”
Cooley is also spot-on when he notes that Matter and Thread don’t necessarily need to go together; the Matter connectivity standard can alternatively use Ethernet (either wireless, aka Wi-Fi, or wired) for transport, along with Bluetooth Low Energy for initial device setup purposes (and speaking of wireless smart home network protocols, by the way, a quick aside: check out Z-Wave’s just-announced long range enhancements). And granted, there has been at least progress with both Matter (in particular) and Thread over the past year.
Version 1.4 of the Matter specification, announced last November, promises (quoting from Ars Technica’s coverage) “more device types, improvements for working across ecosystems [editor note: a concept called “Enhanced Multi-Admin”], and tools for managing battery backups, solar panels, and heat pumps”, for example. And at CES, the Connectivity Standards Alliance (CSA), which runs Matter, announced that Apple, Google, and Samsung will accept its certification results for their various “Works With” programs, too. That said, Amazon is notably absent from the CSA’s fast-track certification list. And more generally, Ars Technica was spot-on with the title of its writeup, “Matter 1.4 has some solid ideas for the future home—now let’s see the support.” See you back here this same time next year?
The Rest of the Story
(no, I don’t know what ballet has to do with smart rings, either)
Speaking of “approaching truly ridiculous wordcount territory”, I passed through 2,000 words a couple of paragraphs back, so I’m going to strive to make the rest of this piece more concise. Looking again at the list of potential coverage technology and product topics I scribbled down a few days ago, partway through CES, and after subtracting out the “Matter and Thread” entry I just discussed, I find…16 candidates left. Let’s divide that in two, shall we? Without further ado, and in no particular order save for how they initially streamed out of my noggin:
- Smart glasses: Ray-Ban and Meta’s jointly developed second-generation smart glasses were one of the breakout consumer electronics hits of 2024, with good (initial experience, at least) reason. Their constantly evolving AI-driven capabilities are truly remarkable, on top of the first-generation’s foundational still and video image capture and audio playback support. Unsurprisingly, therefore, a diversity of smart glasses implementations in various function and price-point options, from numerous suppliers and in both nonfunctional mockup, prototype and already-in-production forms, populated 2025 CES public booths and private meeting rooms alike in abundance. I actually almost bought a pair of Ray-Ban Meta glasses during Amazon’s Black Friday…err…week-plus promotion to play around with for myself (and subsequently cover here at EDN, of course). But I decided to hold off for the inevitable barely-used (if at all) eBay-posting markdowns to come. Why? Well, the recent “publicity” stemming from the New Orleans tragedy didn’t help (and here I thought “glassholes” were bad). Even though Meta Ray-Ban offers product options with clear lenses, not just sunglasses, most folks don’t (and won’t) wear glasses all the time, not to mention that battery life limitations currently preclude doing so anyway (and don’t get me started on the embedded batteries’ inherent obsolescence by design). And when folks do wear them, they’re fashion statements. Multiple pairs for various outfits, moods, styles (invariably going in and out of fashion quickly) and the like are preferable, something that’s not fiscally feasible for the masses when the glasses cost several hundred dollars apiece.
- Smart rings: This wearable health product category is admittedly intriguing because unlike glasses (or watches, for that matter), rings are less obvious to others, therefore it’s less critical (IMHO, at least) for the wearer to perfectly match them with the rest of the ensemble…plus you have 10 options of where to wear one (that said, does anyone put a ring on their thumb?). There were quite a few smart rings at CES this year, and next year there’ll probably be more. Do me a favor; before you go further, please go read (but come back afterwards!) The Verge’s coverage of Ultrahuman’s Rare ring family (promo videos at the beginning of this section). The snark is priceless; it was the funniest piece of 2025 CES coverage I saw!
- HDMI: Version 2.2 is enroute, with higher bandwidth (96 Gbps) now supportive of 16K resolution displays (along with 4K displays at head-splitting 480 fps), among other enhancements. And there’s a new associated “Ultra96” cable, too. At first, I was a bit bummed when I heard this, due to the additional infrastructure investment that consumers will need to shoulder. But then I thought back to all the times I’d grabbed a random legacy cable out of my box o’HDMI goodies only to discover that, for example, it only supported 1080p resolution, not 4K…even though the next one I pulled out of the box, which looked just like its predecessor down to the exact same length, did 4K without breaking a sweat. And I decided that maybe making a break from HDMI’s imperfect-implementation past history wasn’t such a bad idea, after all…
- 3D spatial audio: Up to this point, Dolby’s pretty much had the 3D spatial audio (which expands—bad pun intended—beyond conventional surround sound to also encompass height) stage all to itself with Atmos, but on the eve of CES, Samsung unveiled the latest fruits of its partnership with Google to promulgate an open source alternative called IAMF, for Immersive Audio Model and Formats, now also known by its marketing moniker, “Eclipsa Audio”. In retrospect, this isn’t a terrible surprise; for high-end video, Samsung has already settled on HDR10+ versus Dolby Vision. But I have questions, specifically as to whether Google and Samsung are really going to be able to deliver something credible that doesn’t also collide with Dolby’s formidable patent portfolio. And I also gotta say that the fact that nobody at Samsung’s booth was able to answer one reporter’s questions doesn’t leave me with a great deal of early-days confidence.
- TVs: Speaking of video, I mentioned more than a decade ago that Chinese display manufacturers were beginning to “make serious hay” at South Korea competitors’ expense, much as those same South Korea-based companies had previously done to their Japanese competitors (that said, it sure was nice to see Panasonic’s displays back at CES!). To wit, TCS has become a particularly formidable presence in the TV market. While it and its competitors are increasingly using viewer-customized ads (logging and uniquely responding to the specific content you’re streaming at the time) and other smart TV “platform” revenue enhancements to counterbalance oft-unprofitable initial hardware prices, TCS takes it to the next level with remarkably bad AI-generated drivel shown on its own “free” (translation: advertising-rife) channel. No thanks, I’ll stick with reruns of The Office. That said, the on-the-fly auto-translation capabilities built into Samsung’s newest displays (along with several manufacturers’ earbuds and glasses) were way
- Qi: Good news/bad news on the wireless charging Bad news first: the Qi Consortium recently added the “Qi Ready” category to its Qi2 specification suite. What this means, simply stated, is that device manufacturers (notably, at least at the moment, of Android smartphones) no longer need to embed orientation-optimization magnets in the devices themselves. Instead, as I’m already doing with my Pixel phones, they can alternatively rely on magnets embedded in accompanying cases. On the one hand, as Apple’s MagSafe ecosystem already shows, if you put a case on a phone it needs to have magnets anyway, because the ones in the phone aren’t strong enough to work through the added intermediary case material. And—I dunno—maybe the magnets add notable bill-of-materials cost? Or they interfere with the phone’s speakers, microphones and the like? Or…more likely (cynically, at least), the phone manufacturers see branded cases-with-magnets as a lucrative upside revenue streams? Thoughts, readers? Now for the good news: auto-movable coils to optimize device orientation! How cool is that?
- Lithium battery-based storage systems: Leading suppliers are aggressively expanding beyond portable devices into full-blown home backup systems. EcoFlow’s monitoring and management software looks quite compelling, for example, although I think I’ll skip the solar cell-inclusive hat. And Jackery’s now also selling solar cell-augmented roof tiles.
- Last but not least: (the) RadioShack (licensed brand name, to be precise) is back, baby!
And, now well past 3,000 words, I’m putting this one to bed, saving discussions on robots, Wi-Fi standards evolutions, full-body scanning mirrors with cameras (!!), the latest chips, inevitable “AI” crap and the like for another day. I’ll close with iFixit’s annual “worst of show” coverage:
And with that, I look forward to your thoughts on the things I discussed, saved for later and overlooked alike in the comments!
—Brian Dipert is the Editor-in-Chief of the Edge AI and Vision Alliance, and a Senior Analyst at BDTI and Editor-in-Chief of InsideDSP, the company’s online newsletter.
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The post The 2025 CES: Safety, Longevity and Interoperability Remain a Mess appeared first on EDN.
Automotive insights from CES 2025
OEMs are shifting from installing black box solutions that specialized functions in the more conventional domain architecture to a zone architecture and a function-agnostic processing backbone where each node handles location-specific data. Along with this trend, there is a push towards optimizing sensor functions, fusing multimodal input data with ML for contextual awareness. Sensors no longer serve one function, instead they can be leveraged in a series of automotive systems from driver monitoring systems (DMSs) to smart door access. As a result, camera/sensor count is minimized and power consumption maximized. A tour of several booths at CES 2025 showed some of the automotive-oriented solutions.
Automotive lightingMicrochip’s intelligent smart embedded LED (ISELED), ISELED light and sensor network (ILaS), and Macroblock lighting solutions can be seen in Figure 1. The ISELED protocol was developed to overcome the issue of requiring an external IC per LED to control the color/brightness of individual LEDs. Instead, Microchip has integrated an intelligent ASIC into each LED where the entire system can be controlled with a simple 16-bit MCU. The solution allows for more styling control for aesthetics with additional use cases such as broadcasting the status of a car via text that appears on display-based matrix lighting.
Figure 1: Microchip ISELED lighting solution where all of these LEDS are individually addressable allowing designers to change color/brightness levels of each LED.
ADI’s 10BASE-T1S ethernet to edge bus (E2B) tech has been used as a body control and automotive lighting connectivity solution. And, while this solution is not directly related to LED control, it can be used to update OEM automotive lighting systems that leverage the 10BASE-T1S automotive bus.
In-cabin sensing systemsOne of the more pervasive themes were child presence detection (CPD) and occupancy monitoring system (OMS) products, with many companies showing off their ultra-wide band (UWB) detection and/or ranging tech and 60-GHz radar chips. The inspiration here comes from the incessant pressure on OEMs to meet stringent safety regulations. For instance, The Euro NCAP advanced program will only offer rewards to OEMs for direct sensing systems for CPD. For UWB sensing, the typical setup involved 4 UWB anchors placed outside of the vehicles and two on the inside to detect a phone equipped with UWB. The NXP booth’s automotive UWB demo can be seen in Figure 2. As shown in the image, the UWB radar will be able to identify the distance of the phone from the UWB anchor and unlock the car from the outside using the UWB ranging feature with time of flight (ToF) measurements. The very same principles can be applied for smart door locks and train stations, allowing passengers with pre-purchased train tickets to pass the turnstile from outside of the station to the inside of it.
Figure 2: The NXP automotive UWB radar smart car access solution.
Qorvo also showed their UWB solution, Figure 3 shows one UWB anchor on a toy car for demonstration purposes. The image also highlights another ADAS application of radar (UWB or 60 GHz): respiration and heartbeat detection.
An engineer at NXP granted a basic explanation of the process: the technology measures signal reflections from occupants to detect, for instance, how often the chest is expanding/contracting to measure breathing. This allows for direct-sensing of occupants with algorithms that can discern whether or not a child is present in the vehicle, offering a CPD, OMS, intrusion & proximity alert, and a host of other functions with the established sensor infrastructure. It is apparent that there is no clear answer on the number of wireless chips but there is more of a clear requirement that sensors are becoming more intelligent to minimize part-count—a single radar chip could eliminate five in-seat weight sensors.
Figure 4: Qorvo’s UWB keyless entry and vitals monitoring solutions in partnership with other companies.
TI’s CPD, OMS, and driver monitoring system (DMS) can be seen in Figure 5 with a combination of their 60-GHz radar chip and a camera. Naturally, the shorter wavelength 60-GHz radar offers much more range resolution so this system would likely be more accurate in CPD applications potentially offering less false positives. However, possibly the most obvious benefit of utilizing 60 GHz radar is the fact that a single module replaces the 6 UWB modules for CPD, OMS, intrusion detection, gesture detection, etc. This however, does not entirely sidestep UWB technology; the ranging aspect of UWB allows for accurate smart door access and this is something that may be impractical for 60-GHz technology, especially considering the atmospheric absorption at that particular frequency.
Figure 5: TI’s CPD, OMS, and driver monitoring system (DMS) CES demo.
AD and surround view systemsAutomotive surround view cameras for AD and ADAS functions were also presented in a number of booths. Microchip’s can be seen in Figure 6 where their serializers are used in three cameras that can transmit up to 8 Gbps. The Microchip deserializers are configured to receive the video data and aggregate it via the Automotive SerDes Alliance Motion Link (ASA-ML) standard to the central compute, or high-performance computer (HPC), mimicking a zonal architecture.
Figure 6: Microchip’s ASA-ML standard 360o surround view solution.
ADI also used a serializer/deserializer (SerDes) solution with a gigabit multimedia serial link (GMSL) demo. GMSL’s claim to fame is its lightweight nature, the single-strand solution transports up to 12 Gbps over a single bidirectional cable, shaving weight.
Figure 7: ADI GMSL demo aggregating feeds from six cameras into a deserializer board and going into a single MIPI port on the Jetson HPC-platform.
Using VLMs for ADAmbarella, a company that specializes in AI vision processors showed a particularly interesting AD demo that integrated LLM in the stack. This technology was originally developed by Vislab, an Italian startup that is now an R&D automotive center under Ambarella. The system consisted of 6 cameras, 5 radars, and Ambarella’s CV3 automotive domain controller for L2+ to L4 autonomy. The use of the vision language model (VLM) LLaVA-OneVision allowed for more context-aware decision making.
Founder of Vislab, Alberto Broggi hosted the demo and explained the benefits of leveraging an LLM in this particular use case, “Suppose you have the best perception in the world, so you can perceive everything; you can understand the position of cars, locate pedestrians, and so on. You will still have problems, because there are situations that are ambiguous.” He continued by describing a few of these situations, “If you have a car in front of you in your lane, you don’t really know whether or not you can overtake because it depends on the situation. If its a broken down vehicle, you can obviously overtake it. If it’s a vehicle that is waiting for a red light, you can’t. So you really need some higher level description and context.”
Figure 8 and the video below shows one such example of contextual-awareness that a VLM can offer.
Figure 8: Ambarella VLM AD demo with use case offering some contextual-awareness and suggestions.
Aalyia Shaukat, associate editor at EDN, has worked in the design publishing industry for six years. She holds a Bachelor’s degree in electrical engineering from Rochester Institute of Technology, and has published works in major EE journals as well as trade publications.
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The post Automotive insights from CES 2025 appeared first on EDN.
CES 2025 coverage
Editors from EDN and our AspenCore sister publications are covering the Consumer Electronics Show (CES). Scroll down to see coverage of this year’s CES!
CES 2025: Day 2 Wrap and Interview with EdgeCortix’s CEO A constant theme at CES 2025 this week has been around the deployment of AI in all kinds of applications, how to drive as much intelligence as possible to the edge, sensor fusion and making everything smart. We saw many large and small companies developing technologies and products to optimize this process, aiming to get more “smarts” or performance with less effort and power. |
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CES 2025: Approaches towards hardware acceleration It is clear that support for some kind of hardware acceleration has become paramount for success in breaking into the intelligent embedded edge. Company approaches to the problem run the full gamut from hardware accelerated MCUs with abundant software support and reference code, to an embedded NPU. |
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CES 2025: It’s All About Digital Coexistence, and AI is Real CES 2025 commenced in Las Vegas, Nev., on Sunday at the Mandalay Bay Convention Center for the trade media with the Consumer Technology Association’s annual tech trends survey and forecast. Plus, there was a sneak preview provided to some of the exhibiting companies at the CES Unveiled event. |
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Integration of AI in sensors prominent at CES 2025 Miniaturization and power efficiency have long defined sensor designs. Enter artificial intelligence (AI) and software algorithms to dramatically improve sensing performance and enable a new breed of features and capabilities. This trend has been apparent at this year’s CES in Las Vegas, Nevada. |
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Software-defined vehicle (SDV): A technology to watch in 2025 Software-defined vehicle (SDV) technology has been a prominent highlight in the quickly evolving automotive industry. But how much of it is hype, and where is the real and tangible value? CES 2025 in Las Vegas will be an important venue to gauge the actual progress this technology has made with a motto of bringing code on the road. |
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CES 2025: Wirelessly upgrading SDVs SDVs rethink underlying vehicle architecture so that cars are broken into zones that will directly service the vehicle subsystems that surround it locally, cutting down wiring, latency, and weight. Another major benefit of this is over-the-air (OTA) updates using Wi-Fi or cellular to update cloud-connected cars; however, bringing Ethernet to the automotive edge comes with its complexities. |
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CES 2025: Moving toward software-defined vehicles TI’s automotive innovations are currently focused in powertrain systems; ADAS; in-vehicle infotainment (IVI); and body electronics and lighting. The recent announcements fall into the ADAS with the AWRL6844 radar sensor as well as IVI with the AM275 and AM62D processors and the class-D audio amplifier. |
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CES 2025: Day 1 Recap with Synaptics, Ceva EE Times and AspenCore staff are on-site at CES 2025, providing expert coverage on the latest and greatest developments at one of the largest tech events in the world. |
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CES 2025: A Chat with Siemens EDA CEO Mike Ellow Siemens showcased its latest PAVE360 digital twin solution this year at CES 2025, lowering the barrier between design efforts that are typically siloed. EE Times had an opportunity to chat with Siemens EDA CEO Mike Ellow about how this approach to design is relevant for the semiconductor industry—especially considering the recent uptick in using AI tools at every level of a system to dynamically assess the trickle up/down effects of design adjustments. |
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CES 2025: An interview with Si Labs’ Daniel Cooley At the forefront of many of the CES wireless solutions is WiFi’s newest iteration (WiFi 6), BLE and BLE audio for their already-established place in consumer devices. A chat with Silicon Labs CTO Daniel Cooley illuminated the company’s presence and future in IoT and the intelligent edge. |
The post CES 2025 coverage appeared first on EDN.
Integration of AI in sensors prominent at CES 2025
Miniaturization and power efficiency have long defined sensor designs. Enter artificial intelligence (AI) and software algorithms to dramatically improve sensing performance and enable a new breed of features and capabilities. This trend has been apparent at this year’s CES in Las Vegas, Nevada.
See full story at EDN’s sister publication, Planet Analog.
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The post Integration of AI in sensors prominent at CES 2025 appeared first on EDN.
CES 2025: Approaches towards hardware acceleration
Edge computing has naturally been a hot topic at CES with companies highlighting a myriad of use cases where the pre-trained edge device runs inference locally to produce the desired output, never once interacting with the cloud. The complexity of these nodes has grown to not only include multimodal support with the fusion and collaboration between sensors for context-aware devices but also multiple cores to ratchet up the compute power.
Naturally, any hardware acceleration has become desirable with embedded engineers craving solutions that ease the design and development burden. The solutions vary where many veer towards developing applications with servers in the cloud that are then virtualized or containerized to run at the edge. Ultimately, there is no one-size-fits-all solution for any edge compute application.
It is clear that support for some kind of hardware acceleration has become paramount for success in breaking into the intelligent embedded edge. Company approaches to the problem run the full gamut from hardware accelerated MCUs with abundant software support and reference code, to an embedded NPU.
Table 1 highlights this with a list of a few companies and their hardware acceleration support.
Company |
Hardware acceleration |
Implemented in |
Throughput |
Software |
NXP |
eIQ Neutron NPU |
select MCX, i.MX RT crossover MCUs, and i.MX applications processors |
32 Ops/cycle to over 10,000 Ops/cycle |
eIQ Toolkit, eIQ Time Series Studio |
STMicroelectronics |
Neural-ART Accelerator NPU |
STM32N6 |
up to 600 GOPS |
ST Edge AI Suite |
Renesas |
DRP-AI |
RZ/V2MA, RZ/V2L, RZ/V2M |
– |
DRP-AI Translator, DRP-AI TVM |
Silicon Labs |
Matrix Vector Processor, AI/ML co-processor |
BG24 and MG24 |
– |
MVP Math Library API, partnership with Edge Impulse |
TI |
NPU |
TMS320F28P55x, F29H85x, C2000 and more |
Up to 1200 MOPS (on 4bWx8bD) Up to 600 MOPS (on 8bWx8bD) |
Model Composer GUI or Tiny ML Modelmaker |
Synaptics |
NPU |
Astra (SL1640, SL1680) |
1.6 to 7.9 TOPS |
Open software with complete GitHub project |
Infineon |
Arm Ethos-U55 micro-NPU processor |
PSOC Edge MCU series, E81, E83 and E84 |
– |
ModusToolbox |
Microchip |
AI-accelerated MCU, MPU, DSC, or FPGA |
8-, 16- and 32-bit MCUs, MPUs, dsPIC33 DSCs, and FPGAs |
– |
MPLAB Machine Learning Development Suite, VectorBlox Accelerator Software Development (for FPGAs) |
Qualcomm |
Hexagon NPU |
Oryon CPU, Adreno GPU |
45 TOPS |
Qualcomm Hexagon SDK |
Table 1: Various company’s approaches for hardware acceleration.
Synaptics, for instance, has their Astra platform that is beginning to incorporate Google’s multi-level intermediate representation (MLIR) framework. “The core itself is supposed to take in models and operate in a general-purpose sense. It’s sort of like an open RISC-V core based system but we’re adding an engine alongside it, so the compiler decides whether it goes to the engine or whether it works in a general-purpose sense.” said Vikram Gupta, senior VP and general manager of IoT processors and chief product officer, “We made a conscious choice that we wanted to go with open frameworks. So,whether it’s a Pytorch model or a TFLite model, it doesn’t matter. You can compile it to the MLIR representation, and then from there go to the back end of the engine.” One of their CES demos can be seen in Figure 1.
Figure 1: A smart camera solution showing the Grinn SoM that uses the Astra SL1680 and software from Arcturus to provide both identification and tracking. New faces are assigned an ID and an associated confidence interval that will adjust according to the distance from the camera itself.
TI showcased its TMS320F28P55x C2000 real-time controller (RTC) MCU series with an integrated NPU with an arc fault detection solution for solar inverter applications. The system performs power conversion while at the same time doing real-time arc fault detection using AI. The solution follows the standard process of obtaining data, labeling, and training the arc fault models that are then deployed onto the C2000 device (Figure 2).
Figure 2: TI’s solar arc fault detection edge AI solution
One of Microchip’s edge demos detected true touches in the presence water using its mTouch algorithm in combination with their PIC16LF1559 MCU (Figure 3). Another solution highlighted was in partnership with Edge Impulse and used the FOMO ML architecture to perform object detection in a truck loading bay. Other companies, such as Nordic Semiconductor, have also partnered with Edge Impulse to ease the process of labeling, training, and deploying AI to their hardware. The company has also eased the process of leveraging NVIDIA TAO models to adapt well-established AI models to a specific end-application on any Edge-Impulse-supported target hardware.
Figure 3: Some of Microchip’s edge AI solutions at CES 2025. Truck loading bay augmented by AI in partnership with Edge Impulse (left) and a custom-tailored Microchip solution using their mTouch algorithm to differentiate between touch and water (right).
Aalyia Shaukat, associate editor at EDN, has worked in the design publishing industry for six years. She holds a Bachelor’s degree in electrical engineering from Rochester Institute of Technology, and has published works in major EE journals as well as trade publications.
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Dev kit uses backscatter Wi-Fi for low-power connectivity
HaiLa Technologies has introduced the EVAL2000 development board, featuring its BSC2000 passive backscatter Wi-Fi chip and ST’s STM32U0 MCU. The platform empowers developers and researchers to create ultra-low-power connected sensor applications over Wi-Fi.
The BSC2000 is a monolithic chip that combines analog front-end and digital baseband components to implement HaiLa’s backscatter protocol for 802.11 1-Mbps Direct Sequence Spread Spectrum (DSSS) over Wi-Fi. By using backscattering, it enables low-power communication by reflecting existing Wi-Fi signals instead of generating its own. This allows devices to transmit data with minimal energy consumption. Leveraging readily available, standard Wi-Fi infrastructure, the BSC2000 backscatter Wi-Fi chip collects and transmits sensor data with power efficiency that extends the life of battery-operated sensors.
The EVAL2000 development board accelerates prototyping with GPIO, I2C, and SPI sensor interfaces. Sensor integration is handled through firmware on the MCU. The kit also includes an onboard temperature/humidity sensor.
The BSC2000 EVAL2000 development kit is available for preorder, with shipping anticipated for Q1 2025. For more information on the backscatter Wi-Fi chip and development kit, click here.
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SoC supports multiple wireless protocols
The Talaria 6 family of SoCs from InnoPhase provides Wi-Fi 6, Bluetooth 6.0, Thread, and Zigbee connectivity, along with PSA Level 2 and Level 3 security. Powered by an Arm Cortex-M33 processor and a rich peripheral suite, the SoCs offer the computational performance needed for real-time, on-chip edge AI tasks, including predictive maintenance, sensor analytics, and smart power management.
Talaria 6 wireless SoCs support Wi-Fi 6 (802.11ax) and are Wi-Fi 7 (802.11be) ready, achieving ultra-low power and high-performance connectivity. Integrated digital CMOS radio technology ensures robust throughput in noisy, high-density environments, making them well-suited for smart thermostats, video cameras, and sensors.
Single and dual-band options (2.4 GHz/5 GHz) offer flexible band selection based on use case and network conditions. IEEE 802.11be extensions and multi-link operation improve throughput, lower latency, and increase reliability in congested environments.
Additionally, the SoCs support Bluetooth 6.0, Bluetooth Classic, Thread, and Zigbee mesh networks, enabling seamless integration with a wide range of IoT devices. To protect against cybersecurity threats, Talaria 6 devices feature hardware-based encryption, secure boot, and tamper resistance, safeguarding sensitive data and meeting PSA Level 2 and Level 3 security standards.
The INP6120 2.4-GHz Wi-Fi 6 SoC is expected to sample in Q2 2025, with production starting in Q4 2025. The INP6220 dual-band 2.4/5-GHz Wi-Fi 6 SoC will sample in the second half of 2025, with production beginning in the first half of 2026.
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Synaptics partners with Google to advance edge AI
Synaptics is pairing Google’s ML core with its Astra AI-native hardware and open-source software to simplify context-aware IoT device development. The MLIR-compliant core on Astra hardware accelerates AI processing for vision, image, voice, sound, and other modalities. This combination enables intuitive interaction in wearables, appliances, entertainment systems, embedded hubs, monitoring, and control across consumer, automotive, enterprise, and industrial applications.
The Astra AI-native compute platform for IoT integrates scalable, low-power edge compute silicon with open-source, user-friendly software, robust tools, a strong partner ecosystem, and wireless connectivity. Built on Synaptics’ expertise in neural networks, proven AI hardware, and compiler design for IoT, the platform also supports a wide range of modalities with refined in-house solutions. Google’s ML core, a highly efficient open-source machine learning core, is MLIR-compliant, enhancing compatibility with modern compilers.
For more information about Synaptics’ Astra embedded processors for AI-native IoT, click here.
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Mitsubishi samples high-voltage IGBT modules
Mitsubishi announced that it has begun shipping samples of two new S1-Series high-voltage IGBT modules rated at 1.7 kV. These two components are useful for large industrial equipment, such as railcars and DC power transmitters. With proprietary IGBT devices and advanced insulation structures, the S1-Series modules enhance reliability, minimize power loss, and reduce thermal resistance, supporting more reliable and efficient operation of inverters in large industrial equipment.
The S1-Series incorporates Mitsubishi’s Relaxed Field of Cathode (RFC) diode, increasing the Reverse Recovery Safe Operating Area (RRSOA) by 2.2 times over previous models, improving inverter reliability. Additionally, an IGBT element with a Carrier Stored Trench Gate Bipolar Transistor (CSTBT) structure reduces power loss and thermal resistance, enabling more efficient inverter operation. The upgraded insulation structure boosts insulation voltage resistance to 6.0 kVRMS—1.5 times higher than earlier products—allowing more flexible insulation designs for compatibility with a broader range of inverter types.
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ADI’s efforts for a wirelessly upgraded software-defined vehicle
In-vehicle systems have massively grown in complexity with more installed speakers, microphones, cameras, displays, and compute burden to process the necessary information and provide the proper, often time-sensitive output. The unfortunate side effect of this complexity is the massive increase in ECUs and subsequent cabling to and from its allocated subsystem (e.g., engine, powertrain, braking, etc.). The lack of practicality with this approach has become apparent where more OEMs are shifting away from these domain-based architectures and subsequently traditional automotive buses such as local interconnect network (LIN), controlled area network (CAN) for ECU communications, FlexRay for x-by-wire systems, and media oriented transport (MOST) for audio and video systems. SDVs rethink underlying vehicle architecture so that cars are broken into zones that will directly service the vehicle subsystems that surround it locally, cutting down wiring, latency, and weight. Another major benefit of this are over-the-air (OTA) updates using Wi-Fi or cellular to update cloud-connected cars, however bringing ethernet to the automotive edge comes with its complexities.
ADI’s approach to zonal architecturesThis year at CES, EDN spoke with Yasmine King, VP of automotive cabin experience at Analog Devices (ADI). The company is closely working with the underlying connectivity solutions that allow vehicle manufacturers to shift from domain architectures to zonal with ethernet-to-edge (E2B) bus, automotive audio bus (A2B), and gigabit multimedia serial link (GMSL) technology. “Our focus this year is to show how we are adding intelligence at the edge and bringing the capabilities from bridging the analog of the real world into the digital world. That’s the vision of where automotive wants to get to, they want to be able to create experiences for their customers, whether it’s the driving experience, whether it’s the back seat passenger experience. How do you help create these immersive and safe experiences that are personalized to each occupant in the vehicle? In order to do that, there has to be a fundamental change of what the architecture of the car looks like,” said King. “So in order to do this in a way that is sustainable, for mobility to remain green, remain long battery range, good fuel efficiency, you have to find a way of transporting that data efficiently, and the E2B bus is one of those connectivity solutions where it’s it allows for body control, ambient lighting.”
E2B: Remote control protocol solution 10BASE-T1S solutionBased on the OPEN alliance 10BASE-T1S physical layer (PHY), the E2B bus aims at removing the need for MCUs centralizing the software to the high performance compute (HPC) or central compute (Figure 1). “The E2B bus is the only remote control protocol solution available on the market today for the 10BASE-T1S so it’s a very strong position for us. We just released our first product in June of this past year, and we see this as a very fundamental way to help the industry transform to zonal architecture. We’re working with the OPEN alliance to be part of that remote control definition.” These transceivers will integrate low complexity ethernet (LCE) hardware for remote operation and, naturally, can be used on the same bus as any other 10BASE-T1S-compliant product
BMW has already adopted the E2B bus for their ambient lighting system, King mentioned that there has already been further adoption by other OEMs but they were not public yet. “The E2B bus is one of those connectivity solutions where it allows for body control, ambient lighting. Honestly, there’s about 50 or 60 different applications inside the vehicle.” She mentioned how E2B is often used for ambient lighting today but there are many other potential applications such as driver monitoring systems (DMSs) that might detect a sleeping driver via the in-vehicle biometric capabilities to then respond with a series of measures to wake them up, E2B allows OEMs to apply these measures with an OTA update. Without E2B, you’d have to not only update the DMS, but you’d have to update the multiple nodes that are controlling the ambient light. The owner might have to take it back into the shop to apply the updates, it just takes longer and is more of a hassle. With E2B, it’s a single OTA update that is an easy, quick download to add safety features so it’s more realistic to get that safer, more immersive driver experience.” The goal for ADI is to move all the software from all edge nodes to the central location for updates.
Figure 1: EDN editor, Aalyia Shaukat (left) and VP of automotive cabin experience, Yasmine King (right) in front of a suspension control demo with 4 edge nodes sensing the location of the weighted ball, sends the information back to the HPC to send commands back to control the motors.
A2B: Audio system based on 100BASE-T1Based upon the 100BASE-T1 standard, the A2B audio follows a similar concept of connecting edge nodes with a specialization in sound limiting the installation of weighty shielded analog cables going to and from the many speakers and microphones in vehicles today for modern functions such as active noise cancellation (ANC) and road noise cancellation (RNC). “We have RNC algorithms that are connected through A2B, and it’s a very low latency, highly deterministic bus. It allows you to get the inputs from, say, the wheel base, where you’re listening for the noise, to the brain of the central compute very quickly.” King mentioned how audio systems require extremely low latencies for an enhanced user experience, “your ears are very susceptible to any small latency or distortion.” The technology has more maturity than the newer E2B bus and has therefore seen more adoption, “A2B is a technology that is utilized across most OEMs, the top 25 OEMs are all using it and we’ve shipped millions of ICs.” ADI is working on a second iteration of the A2B bus that multiplies the data rate of the previous generation, this is likely due to the maturation of the 1000BASE-T1 standard for automotive applications that is meant to reach 1 Gbps. When asked about the data rate King responded, “I’m not sure exactly what we are publicly stating yet but it will be a multiplier.”
GMSL: Single-wire SerDes display solutionGMSL is the in-vehicle serializer/deserializer (SerDes) video solution that shaves off the significant wiring typically required with camera and subsequent sensor infrastructure (Figure 2). “As you’re moving towards autonomous driving and you want to replace a human with intelligence inside the vehicle, you need additional sensing capabilities along with radar, LiDAR, and cameras to be that perception sensing network. It’s all very high bandwidth and it needs a solution that can be transmitted in a low-cost, lightweight cable.” Following a similar theme as the E2B and A2B audio buses, using a single cable to manage a cluster display or an in-vehicle infotainment (IVI) human-to-machine interface (HMI) minimizes the potential weight issues that could damage range/fuel efficiency. King finished by mentioning one overlooked benefit of lowering the weight of vehicle harnessing “The other piece that often gets missed is it’s very heavy during manufacturing, when you move over 100 pounds within the manufacturing facilities you need different safety protocols. This adds expense and safety concerns for the individuals who have to pick up the harness where now you have to get a machine over to pick up the harness because it’s too heavy.”
Figure 2: GMSL demo aggregating feeds from six cameras into a deserializer board going into a single MIPI port on the Jetson HPC-platform.
Aalyia Shaukat, associate editor at EDN, has worked in the design publishing industry for six years. She holds a Bachelor’s degree in electrical engineering from Rochester Institute of Technology, and has published works in major EE journals as well as trade publications.
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