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Under the CHIPS Incentives Program’s Funding Opportunity for Commercial Fabrication Facilities, the US Department of Commerce has finalized three separate awards of direct funding: up to $32m for Corning, up to $18m for Edwards Vacuum, and up to $93m for Infinera...

Introduction and editor’s note

This is a two-part series where DI authors Damian and Phoenix Bonicatto explore the IQ signal representation and negative frequencies. Part 1 explains the commonly used SDR IQ signal representation and negative frequencies without the complexity of math.

This final part (Part 2) presents a device that allows you to play with and display live SDR signal spectrums with negative frequencies.

Wow the engineering world with your unique design: Design Ideas Submission Guide

Defining real and imaginary signals

Let’s start off with something I left out on purpose in Part 1, there are two more terms we will use: A “real” signal is a term used for the signal represented by the I data. “Imaginary” signal is the term used for the signal represented by the Q data. I left them out until now as they add to the obfuscation of the discussion. Just take them at face value as there is nothing imaginary about an “imaginary” signal.

The “I/Q Explorer” design

Okay, so what we are going to make is an Arduino Nano based device that can generate “real” and “imaginary” data (I and Q samples) per your settings of frequency, amplitude, and phase. Then it will display a spectrum showing positive and negative frequencies. We will not use the FFT feature of your scope, we will generate the spectrum in the MCU and send it out to the oscilloscope to form a trace in the shape of the spectrum. In fact, we will generate a spectrum for the real signal, imaginary signal, and the magnitude of the combination (this is the square root of the sum of the squares of the real and imaginary signals).

We will refer to this design as the I/Q Explorer (Figure 1).

Figure 1 The final I/Q Explorer design with an LCD for displaying menu items and values and a toggle switch to switch the scope between the time and frequency domains.

Let’s look at the schematic in Figure 2.

Figure 2 The schematic of the IQ Explorer device with an Arduino Nano, 4×20 LCD, two rotary encoders, a simple toggle switch, three analog outputs, three lines to go to the scope probes, a digital output, and BNC connectors.

You can see the I/Q Explorer has a relatively simple schematic. It’s based on an Arduino Nano and uses a 4×20 LCD for displaying menu items and values. The two rotary encoders are used to navigate through the menu and to change values. A simple toggle switch is used to change the scope view from the time domain to frequency domain. There are three analog outputs, created using PWM outputs and single pole RC low-pass filters. The three lines go to the scope probes (you don’t need to connect all three if you don’t have a 4-channel scope). There is also a digital output used as a trigger to sync the scope to the analog outputs. The only other electrical parts are two BNC connectors which can be used if you want to get signals from a signal generator, instead of the internal generated signals.

The test stand itself can be easily 3D printed (a link to the 3D files and Arduino code are at the end of the article). The test stand provides a place to mount the LCD, rotary encoders and the time/frequency switch. Two BNC connectors can be installed on the left side. On the right side is a place to install four wires that will be used to clip the scope probe on (you also need to clip one of the leads to a ground). The rest on the circuitry can be laid out on a small solderless breadboard. The breadboard then fits on the back of the test stand. A document showing more images, BOM, and additional instructions can be found in the download from the link at the end of the article.

Using the I/Q Explorer

Ok, what can you do with it now? First, the left side of the test stand has four bare wires that are used to connect the scope probes (also connect one scope probe ground to digital ground on the breadboard. The top wire is the real data, the next one down is the imaginary data, then the magnitude, and the bottom one is the trigger. Connect the real, imaginary, and magnitude to the three inputs of your scope (if you only have a two-channel scope, you can connect the real and imaginary only, without missing much). The trigger can be connected to the last scope channel or to the external trigger of your scope.

Now, set the Freq/Time switch to Freq. On your scope, set the vertical to 2v/div, for each of the inputs. Also set the sweep to 20ms/div.

Now you can power the system via the USB connection on the Arduino Nano. Spread out the traces on the scope and set the scope to trigger using the trigger input. You can now hide the trigger trace. The traces should look like what we see in Figure 3.

Figure 3 The starting spectrum from -2500 to +2500 Hz where there is signal energy at both -1500 and +1500 Hz.

Now adjust the horizontal position so the traces are centered. Ignore the time axis on the bottom and the voltage axis on the right side—they are irrelevant (turn them off if your scope has such a feature). The left-to-right axis is frequency with -2500 Hz on the left side and +2500 Hz on the right side. DC or 0 Hz is the center line. (On scopes with 10 major horizontal markings, each major marking measures off 500 Hz increments.) Vertical is only a relative, auto-scaled, value so it is best to keep the volts/div the same for the real, imaginary, and magnitude traces. So, in Figure 3 you can see we have signal energy at both +1500 Hz and -1500 Hz. (Note, on boot up the real signal is 100 while the imaginary amplitude is 0.)

You will see a menu on the I/Q Explorer LCD. Rotating the left rotary encoder will allow you to move up and down in the menu. The right rotary encoder allows you to change the values of the menu item next to the flashing cursor (second line from the top of the LCD). In the menu you can change the frequency, amplitude and the phase of the real (I data) or imaginary (Q data) signals.) Note that changing the frequency of either the real or imaginary will change the other—they need to be at the same frequency.) The menu also has items to print data, plot data, turn on/off windowing, turn on/off a mixer, and change the source for the FFT from the internal generated data to external signal from a signal generator.

As a sanity check, Figure 4 is a plot of the real output from a simulation package using the same signals, sample rate, and number of samples. These are as follows: The real signal used has an amplitude of 100 and the imaginary signal has an amplitude of 0. The frequency of both is 1500 Hz. The sample rate is 5000 samples/second and the number of samples used in the FFT is 64.

Figure 4 Real FFT simulation using the same settings where the real signal has an amplitude of 100, the imaginary signal has an amplitude of 0, the frequency of both is 1500 Hz, the sample rate is 5000 samples/second, and the number of samples used in the FFT is 64.

You can see that the real signal matches nicely.

Adjusting real and imaginary signal settings

Let’s change the imaginary signal so it has the same amplitude as the real signal. Set the imaginary amplitude to 100. Now we get the following in Figure 5.

Figure 5 The FFT when imaginary and real amplitudes are the same (set to 100).

You can see we only have a signal at +1500 Hz…there is no negative frequency component.

If we flip the Freq/Time to “Time” you will be able to see the time domain samples used to generate the FFT, without adjusting anything on the scope.

Mixer mode

Now let’s try quadrature (complex-to-complex) mixing. Move down in the menu and turn on “Mixer” (more on moving and adjusting settings in the download). This will do the mix using the real and imaginary signals you have sets, and a fixed signal having its real and imaginary setting of 1000 Hz, and amplitudes of 100 and phases set to 0. What you will at first is shown in Figure 6.

Figure 6 Quadrature mixing of 1500 Hz with 1000 Hz showing the signal at 500 Hz and an image created at 2000 Hz.

You can see two things. First, the signal is now at 500 Hz, the difference of 1500 Hz from our signal and the 1000Hz from the mix signal. Second, there is an image created at 2000 Hz (1500 Hz + 500 Hz) but it has been removed by the mathematics of the mixer.

Next change the frequency of the real or imaginary signal (remember one will change the other) to 500 Hz. Also note, as you turn the dial, the FFT frequency will slide down as you approach 500 Hz. And as you go past 1000 Hz you will see the FFT in the negative frequency area. When you get to 500 Hz you will see this in Figure 7.

Figure 7 Quadrature (complex-to-complex) mixing of 500 Hz with 1000 Hz.

You now have generated a negative frequency—as simple as that.

Note that you can also see the plot, of any of the displayed FFTs, on the PC by using the “Serial Plot” selection. You can also get a view of the numerical data by using the “Serial Print Data” selection.

More fun IQ manipulation

So now that you’ve seen a few examples, you can explore I/Q data and quadrature mixing by changing things like the amplitude of the real and/or imaginary signals. Also, try changing the phase of signals. After you get a grasp of that try changing the phase of either. To get a real handle on this, see if you can manipulate the trig equations to better understand how you get to that FFT. The system also has a windowing function, you can play with, that adjusts amplitudes of the data points before the FFT is calculated (for those who know these things, it is a Hann window). 

Remember, you can also use actual external signals, such as those from a two-channel signal generator, to perform the same tests. You’ll note though, the FFTs are not quite as stable. There is more information on that in the downloadable notes.

One last thought; you’ll find lots of discussion on whether negative frequencies are real (in the traditional sense) or not. My two cents is they are not physically real as they cannot be transmitted as a single waveform, but they are a very nice mathematical construct that allows us to manipulate the signals that we can receive. Let the arguing begin.

To download 3D printable files and document containing more operating info, a BOM, and extra photo, visit: https://makerworld.com/en/models/1013533#profileId-993290

The Arduino Nano code can be found at: Arduino Nano code can be found at: https://github.com/DamianB2/IQ_Explorer

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.

 Related Content

• A beginner’s guide to power of IQ data and beauty of negative frequencies – Part 1
• Exploring software-defined radio (without the annoying RF) – Part 1
• Exploring software-defined radio (without the annoying RF)—Part 2
• SDR Basics Part 3: Transmitters
• The virtual reality of 5G – Part 2 (measurements)
• Ultra-wideband I/Q demodulator improves receiver performance

The post A beginner’s guide to power of IQ data and beauty of negative frequencies – Part 2 appeared first on EDN.

InnoScience (Suzhou) Technology Holding Co Ltd and its subsidiary InnoScience (Suzhou) Semiconductor Co Ltd have filed complaints regarding patent number 202311774650.7s and 202211387983.X with the Intermediate People’s Court of Suzhou City, Jiangsu Province, against Infineon Technologies (China) Co Ltd, its subsidiary Infineon Technologies (Wuxi) Co Ltd, and Suzhou Chipswork Electronics Technologies Co Ltd...

Nvidia’s CEO Jensen Huang has made waves by saying that his company’s most advanced artificial intelligence (AI) chip, Blackwell, will transition from CowoS-S to CoWoS-L advanced packaging technology. That also shows how TSMC’s advanced packaging technology—chip on wafer on substrate (CoWoS)—is evolving to overcome interconnect battles inside large, powerful chips for AI and other high-performance computing (HPC) applications.

The CoWoS-S advanced packaging technology uses a single silicon interposer and through-silicon vias (TSVs) to facilitate the direct transmission of high-speed electrical signals between the die and the substrate. However, single silicon interposers often confront yield issues.

On the other hand, CoWoS-L, TSMC’s latest packaging technology, uses a local silicon interconnect (LSI) along with an RDL interposer to form a reconstituted interposer (RI) to enhance chip design and packaging flexibility. It also preserves the attractive feature of CoWoS-S in the form of TSVs while mitigating the yield issues arising from the use of large silicon interposers in CoWoS-S.

According to Reuters, Nvidia is selling its Blackwell chips as quickly as TSMC can manufacture them, but packaging has become a bottleneck due to capacity constraints. That’s startling because, as Huang noted, the amount of advanced packaging capacity at TSMC is probably four times the amount available less than two years ago.

Figure 1 CoWoS-L marks a significant advancement over CoWoS-S in terms of performance and efficiency for AI and HPC applications. Source: TSMC

Huang also told Taiwanese reporters that Nvidia is still producing Blackwell’s predecessor, Hopper, using TSMC’s CoWoS-S advanced packaging technology. “It’s not about reducing capacity. It’s actually increasing capacity into CoWoS-L.”

Advanced packaging in flux

Nvidia’s foray into new technology is a stark reminder of how quickly advanced packaging needs are changing. Apparently, the semiconductor industry is eying a new set of advanced packaging building blocks to dramatically increase the bandwidth and interconnect density of AI chips.

TSMC’s CoWoS is a 2.5D semiconductor packaging technology that increases the number of I/O points while reducing interconnect length between logic and memory components. However, emerging HPC workloads, particularly those related to AI training, demand even higher memory bandwidth due to frequent memory accesses.

CoWoS-L can stack up to 12 HBM3 devices at a lower cost than CoWoS-S and thus has the potential to become the mainstream CoWoS technology for future AI chips. Beyond CoWoS-L, TSMC is warming up to co-packaged optics (CPO), which replaces traditional electrical signal transmission with optical communications.

Figure 2 TSMC has made significant progress in its silicon photonics strategy by integrating CPO with advanced semiconductor packaging. Source: TrendForce

The current AI chips use copper interconnects, which increasingly face bottlenecks as bandwidths widen. In CPO, optical interconnect signals can achieve higher bandwidth than their electrical counterparts. For instance, CPO supports up to 1.6 Tbps bandwidth, which is 1.8 times wider than Gen 4 NVLink interconnect used by Nvidia in its current GPUs. Moreover, power consumption is also up to 50% lower.

According to Taiwanese media outlet UDN, TSMC has completed the development of CPO, and it plans to provide CPO samples to two of its major customers, Broadcom and Nvidia, later this year. Furthermore, UDN reports that TSMC plans to scale up the production of CPO in 2026.

AI chips constituting high logic-to-logic and logic-to-memory bandwidth are driving innovations in the advanced packaging realm. The move from CoWoS-S to CoWoS-L and the advent of CPO are harbinger of this pivot in the semiconductor industry ecosystem, which is now increasingly driven by AI applications.

Related Content

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• Advanced IC Packaging: Fundamentals for the ‘More than Moore’ Era

The post Nvidia, TSMC, and advanced packaging realignment in 2025 appeared first on EDN.

submitted by /u/4b686f61 [link] [comments]

This is a Nixie tube clock I built without using any PCB boards. Basically, it was built via point to point wiring. This thing is far from perfect: it’s all crooked, numbers don’t line up, etc. but I think that’s the allure of building something like this. This will never be perfect. Something like this cannot be built by automation. No 2 clocks will never be identical; if I decided to build another clock like this, I will never build it exactly like this one. This thing is still not perfect; it is failing the self test routine and need to still debug the driver circuits of one of the nixies. It’s almost there though! I’m planning to give my grandfather the ugly nixie clock. It’s something very personal I built with my own hands. He’s in Hawaii, so I’m an ocean away from him. I wish I could visit him every day, but that would be a long daily commute (from California to O’ahu). He doesn’t have much time left on this planet, however, he was the very one that molded me into what I am today. He’s going to get a nixie clock, only one of it’s type in the entire world lol This build was pretty stressful and frustrating, but I absolutely loved every minute of it. submitted by /u/Asuntofantunatu [link] [comments]

I wanna start by saying: I literally just started this hobby today. I know this is an egregiously simple thing and nothing impressive, but holy crap this brought me unbelievable levels of dopamine! I have to say this is one of the coolest things I've done in a long time. Being able to solve some equations and then build this little circuit, and watch the EXACT calculations i came up with pop up on the multimeter is amazing I've done lots of math in my day, but MAN, being able to calculate something on paper then see those results in the real world is simply amazing submitted by /u/Global-Box-3974 [link] [comments]

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India has steadily emerged as a formidable force in defense technology, with indigenous innovations taking center stage. Among its crowning achievements is the Swathi Weapon Locating Radar (WLR), a state-of-the-art radar system designed to detect and track enemy artillery, mortars, and rockets. Developed by Indian defense engineers, the Swathi radar underscores India’s self-reliance in defense capabilities, offering world-class performance at a competitive cost.

What is Swathi Weapon Locating Radar?

Swathi Weapon Locating Radar (WLR) is an advanced radar system designed to locate the origin of hostile artillery fire and pinpoint the location of enemy weapons. It provides critical real-time data to armed forces, enabling them to neutralize threats effectively. The radar has been a game-changer for India’s military and has garnered international attention for its capabilities.

Developed by Indian Expertise

Swathi WLR was developed indigenously by the Electronics and Radar Development Establishment (LRDE), a division of the Defence Research and Development Organisation (DRDO), in collaboration with Bharat Electronics Limited (BEL). This collaboration brought together cutting-edge radar technology and indigenous manufacturing expertise, resulting in a highly reliable and efficient system tailored to the needs of the Indian Armed Forces.

Swathi Radar: Full Form and Significance

The term “Swathi” does not have a conventional acronymic full form; it is a name that symbolizes vigilance and precision. In the context of military technology, it signifies the radar’s ability to scan, detect, and act with unparalleled accuracy, much like its namesake.

Swathi’s significance lies in its ability to act as a force multiplier. By detecting and neutralizing threats before they can cause damage, the radar enhances the strategic and tactical advantage of armed forces in conflict scenarios. It also reduces the dependency on foreign-made radar systems, contributing to India’s ‘Make in India’ initiative.

Technical Features and Capabilities

The Swathi Weapon Locating Radar boasts several cutting-edge features that make it a world-class system:

1. Detection Range: Swathi WLR has a range of up to 50 kilometers for locating artillery and up to 30 kilometers for detecting mortars and rockets. This extended range ensures early threat detection and effective countermeasures.
2. Coverage Area: The radar can simultaneously track multiple targets over a wide area, making it ideal for use in complex battlefield scenarios.
3. Accuracy: With high precision, the radar can pinpoint the location of enemy weaponry, providing critical data for swift retaliatory action.
4. Mobility: Mounted on a mobile platform, the radar can be rapidly deployed in different terrains, from deserts to mountainous regions.
5. Weather Resilience: The radar performs reliably under varied weather conditions, ensuring uninterrupted operation during critical missions.

Swathi Radar Exports: Expanding Global Reach

Swathi WLR is not just a domestic asset; it has also made its mark on the international stage. India’s defense exports have grown significantly, with Swathi being a flagship product. Notably, Armenia has procured the radar system, recognizing its exceptional capabilities and cost-effectiveness. This export marked a significant milestone for India’s defense industry, positioning Swathi as a competitive alternative to systems offered by countries like the United States, Israel, and Russia.

The successful export of Swathi underscores the global recognition of India’s indigenous defense technology. It also reflects India’s growing capability to design and manufacture advanced systems that meet international standards.

Cost-Effectiveness: A Strategic Advantage

One of Swathi’s most compelling aspects is its affordability. Priced significantly lower than similar systems from other countries, Swathi offers an attractive option for nations looking to bolster their defense capabilities without overshooting their budgets. The radar’s competitive pricing, combined with its high performance, has made it an appealing choice for several countries exploring modern defense solutions.

Operational Impact and Applications

Swathi WLR has proven invaluable in enhancing battlefield operations. Here’s how:

1. Threat Neutralization: By detecting the source of enemy artillery, the radar allows forces to respond quickly and effectively, neutralizing threats before they escalate.
2. Border Security: Deployed along sensitive borders, Swathi provides constant surveillance and tracking, ensuring robust national security.
3. Counter-Battery Fire: The radar’s ability to accurately locate enemy firing positions enables counter-battery operations, minimizing damage and ensuring tactical superiority.
4. International Peacekeeping: Swathi can be deployed in international peacekeeping missions, where its precision and reliability contribute to maintaining stability in conflict zones.

Future Prospects and Upgrades

To maintain its edge, Swathi radar is expected to undergo periodic upgrades, incorporating advancements in radar and sensor technologies. Future iterations may include enhanced range, better integration with command-and-control systems, and AI-driven analytics for real-time decision-making.

Additionally, with an increasing focus on exports, DRDO and BEL are likely to develop customized versions of Swathi to meet the specific needs of different countries.

Conclusion

The Swathi Weapon Locating Radar is a testament to India’s strides in indigenous defense technology. Combining cutting-edge features with cost-effectiveness, it has become a valuable asset for both domestic and international applications. Its successful deployment and export highlight India’s potential to be a global leader in defense innovation. As Swathi continues to evolve, it will undoubtedly remain a cornerstone of India’s defense strategy and a beacon of technological excellence.

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The Internet of Things (IoT) continues to revolutionize industries by enabling seamless connectivity among devices, sensors, and systems. The choice of communication technology is critical in determining the efficiency, scalability, and cost-effectiveness of IoT implementations. Among the most prominent technologies are 5G and Low Power Wide Area (LPWA) networks, which include NB-IoT, Sigfox, and LoRa. Each of these technologies has distinct characteristics, making them suitable for specific use cases. This article explores the differences between 5G and LPWA technologies, highlighting their unique features, advantages, and limitations.

Understanding the Basics

5G Technology

5G is the fifth generation of mobile network technology, designed to provide ultra-fast data speeds, minimal latency, and support for massive device connectivity. It is a versatile technology catering to diverse applications, from enhanced mobile broadband (eMBB) to ultra-reliable low-latency communication (URLLC) and massive machine-type communication (mMTC).

Low Power Wide Area (LPWA) Technologies

LPWA technologies, such as NB-IoT, Sigfox, and LoRa, focus on low power consumption, wide coverage, and cost-efficiency. These technologies are tailored for IoT applications requiring long battery life, low data rates, and devices distributed over vast areas.

Key Features and Capabilities

Feature	5G	NB-IoT	Sigfox	LoRa
Data Speed	Up to 10 Gbps	Up to 250 kbps	100 bps to 600 bps	0.3 kbps to 50 kbps
Latency	1 ms or less	~1.5 seconds	~10 seconds	~1 to 5 seconds
Coverage	Urban and dense environments	Deep indoor and rural	Global (through operators)	Regional (private networks)
Power Efficiency	Moderate	High	Very High	Very High
Cost	High	Low to moderate	Low	Low

 

Comparing the Technologies

1. 5G: High-Speed and Versatility

5G excels in high-bandwidth applications requiring real-time responsiveness. It is ideal for:

• Autonomous Vehicles: Low latency ensures real-time decision-making for self-driving cars.
• Smart Cities: 5G supports dense sensor deployments, enabling smart traffic systems and public safety applications.
• Industrial Automation: Ultra-reliable low-latency communication (URLLC) facilitates advanced robotics and precision manufacturing.

However, 5G’s advanced capabilities come at a higher cost. Its infrastructure demands significant investment, and its power consumption is relatively high, making it less suitable for battery-powered IoT devices.

2. NB-IoT: Simplified Cellular Connectivity

Narrowband IoT (NB-IoT) is a cellular-based LPWA technology developed to address the needs of IoT applications requiring low power consumption and wide coverage. Key applications include:

• Smart Utilities: NB-IoT is widely used in smart metering for water, gas, and electricity.
• Agriculture: It supports soil moisture sensors and livestock monitoring systems.
• Asset Tracking: NB-IoT enables cost-effective tracking of shipping containers and equipment.

NB-IoT operates within the licensed spectrum, ensuring minimal interference and reliable connectivity. Its power efficiency allows devices to run for years on a single battery. However, its data speed and latency are not sufficient for applications requiring real-time responsiveness.

3. Sigfox: Global Connectivity at Low Cost

Sigfox is a proprietary LPWA technology designed for simplicity and affordability. Operating in the unlicensed ISM band, it focuses on:

• Environmental Monitoring: Sigfox supports sensors for air quality, weather, and water levels.
• Smart Logistics: It enables tracking of pallets and packages globally.
• Security Systems: Sigfox connects low-power intrusion sensors and alarms.

Sigfox’s ultra-low data rates and power consumption make it ideal for applications transmitting small amounts of data sporadically. However, its reliance on Sigfox operators limits flexibility and scalability compared to open standards.

4. LoRa: Flexibility and Decentralization

LoRa (Long Range) is an open standard LPWA technology operating in the unlicensed ISM band. It is particularly valued for its:

• Private Networks: LoRa enables businesses to establish their own IoT networks without relying on third-party operators.
• Agriculture and Environmental Use: LoRa supports monitoring of farmlands, forests, and wildlife habitats.
• Smart Buildings: LoRa connects HVAC systems, lighting controls, and security sensors.

LoRa’s flexibility and cost-effectiveness make it a popular choice for localized IoT deployments. However, its reliance on gateways and lack of native global coverage can be limitations for some use cases.

Selecting the Right Technology

The choice between 5G and LPWA technologies depends on the specific requirements of the IoT application.

Consideration	Best Technology
High-speed data transfer	5G
Battery life and power efficiency	Sigfox, LoRa, NB-IoT
Global connectivity	Sigfox
Private network setup	LoRa
Real-time responsiveness	5G

 

The Future of IoT Connectivity

As IoT ecosystems continue to expand, hybrid approaches integrating multiple technologies are emerging. For example, 5G can provide high-speed backbone connectivity, while LPWA networks handle localized low-power tasks. Additionally, advancements in edge computing and AI are enhancing the capabilities of all these technologies, enabling more intelligent and efficient IoT solutions.

Conclusion

5G and LPWA technologies each bring unique strengths to the IoT landscape. While 5G is the backbone of high-performance, real-time applications, LPWA technologies like NB-IoT, Sigfox, and LoRa cater to cost-sensitive, low-power use cases. The diversity of these technologies ensures that IoT can address a wide spectrum of needs, driving innovation across industries and transforming how we interact with the world around us.

 

The post 5G vs LPWA Technologies: A Comparative Overview of 5G, NB-IoT, Sigfox, and LoRa IoT appeared first on ELE Times.

For its fiscal second-quarter 2025 (ended 29 November 2024), semiconductor production test and reliability qualification equipment supplier Aehr Test Systems of Fremont, CA, USA has reported revenue of $13.5m, up slightly from $13.1m last quarter but down on $21.4m a year ago. While Services revenue has rebounded from $0.97m last quarter to $1.47m, Product revenue has fallen further, from $19.8m a year ago and $12.2m last quarter to $12m...

The world is at a critical juncture. The ever-increasing demand for energy coupled with the looming threat of climate change necessitates a paradigm shift towards sustainable power generation. Thankfully, innovation is blossoming in the realm of renewable energy, with a plethora of emerging technologies poised to revolutionize the way we power our planet.

This article delves into some of the most promising sustainable power technologies that hold immense potential for shaping a cleaner and more secure energy future. We will explore these technologies based on the following categories:

• Solar Energy Advancements
• Wind Power Innovations
• Alternative Renewable Energy Sources
• Energy Storage Solutions

Solar Energy Advancements

Solar energy remains at the forefront of the renewable energy revolution. However, advancements are constantly pushing the boundaries of efficiency and affordability. Here are some exciting developments:

• Perovskite Solar Cells: These next-generation solar cells boast the potential to surpass the efficiency limits of traditional silicon-based cells. Perovskite materials are lightweight, flexible, and can be manufactured at lower costs, making them ideal for large-scale deployment.
• Concentrated Solar Power (CSP) with Thermal Storage: CSP plants use mirrors to concentrate sunlight onto a receiver, generating heat that can be converted into electricity. Integrating thermal storage allows for continuous power generation even during periods of low sunlight.
• Building-Integrated Photovoltaics (BIPV): BIPV technologies seamlessly integrate solar panels into building materials, transforming rooftops, facades, and windows into power generators. This not only reduces reliance on traditional grids but also enhances building aesthetics.

Wind Power Innovations

Wind power is another established renewable energy source, and advancements are focusing on efficiency and harnessing wind energy from untapped sources:

• Offshore Wind Farms: With stronger and more consistent winds blowing offshore, these large-scale wind farms offer significant potential for clean energy generation. Technological advancements in turbine design and floating platforms are making offshore wind farms more cost-effective.
• Vertical Axis Wind Turbines (VAWTs): Unlike traditional horizontal-axis wind turbines, VAWTs can capture wind from any direction, making them suitable for urban environments or areas with unpredictable wind patterns. Their compact design also reduces visual impact.
• High-Altitude Wind Power (HAWP): HAWP systems utilize tethered kites or balloons equipped with turbines to harness the stronger and more consistent winds at high altitudes. This technology is still in its early stages but holds promise for large-scale energy generation.

Alternative Renewable Energy Sources

Beyond solar and wind, a diverse range of renewable energy sources are emerging:

• Geothermal Energy: This technology utilizes the Earth’s internal heat to generate electricity. Enhanced Geothermal Systems (EGS) are expanding the reach of geothermal power by creating artificial geothermal reservoirs in areas with limited natural resources.
• Ocean Energy: The power of waves, tides, and currents can be harnessed through various technologies like wave energy converters, tidal turbines, and ocean thermal energy conversion (OTEC). These technologies are still under development but offer immense potential for coastal regions.
• Biomass Energy: While concerns exist regarding sustainability, advancements in biofuel production and waste-to-energy conversion can contribute to a cleaner energy mix.

Energy Storage Solutions

The intermittent nature of some renewable energy sources necessitates efficient energy storage solutions. Here are some key technologies:

• Advanced Battery Storage: Lithium-ion batteries are currently the dominant technology, but advancements in solid-state batteries and flow batteries promise higher capacities, longer lifespans, and faster charging times.
• Pumped Hydroelectric Storage (PHES): This mature technology stores energy by pumping water uphill during off-peak hours and releasing it through turbines to generate electricity during peak demand periods.
• Compressed Air Energy Storage (CAES): CAES stores energy by compressing air into underground caverns. When electricity is needed, the compressed air is released to drive turbines and generate power.

The Road Ahead: A Collaborative Effort

The successful integration of these emerging sustainable power technologies requires a collaborative effort. Governments, research institutions, and private companies need to work together to address challenges like:

• Cost Reduction: While advancements are lowering costs, further research and development are crucial to make these technologies cost-competitive with traditional fossil fuels.
• Grid Modernization: Integrating a diverse range of renewable energy sources necessitates a smarter and more flexible grid infrastructure.
• Policy and Regulations: Supportive policies and regulations can incentivize the adoption of renewable energy technologies and create a stable investment environment

The post Powering a Sustainable Future: A Look at Emerging Sustainable Power Technologies appeared first on ELE Times.

Infineon Technologies AG, a leader in power, automotive and IoT semiconductors, announced the formation of a new business unit to drive the company’s growth in the area of sensors by combining the existing Sensor and Radio Frequency (RF) businesses into one dedicated organization. The new business unit SURF (Sensor Units & Radio Frequency) will be part of the Power & Sensor Systems (PSS) division and include the former Automotive and Multi-market Sense & Control businesses.

By combining its sensor and RF expertise, Infineon strengthens its competitiveness and go-to-market approach by leveraging cost and R&D synergies accelerating innovation and value to customers. This strategic move will capitalize on the vast market potential of the sensor and RF markets, projected to exceed 20 billion US- Dollars by 2027. The new business unit became effective on 1 January 2025.

“With the new business unit, we are addressing the growing demand for sensors and RF solutions, driven by trends such as green energy, clean and safe mobility, and smart and secure IoT,” says Dr. Thomas Schafbauer, Head of SURF business unit at Infineon. “Our dedicated business unit for sensors and RF allows for the expansion of our sales activities and combines our innovation capabilities, offering even more differentiated system solutions for our automotive, consumer and industrial customers.”

With devices attaining higher levels of intelligence and autonomy, sensor semiconductors are becoming ubiquitous components in connecting the real and digital world: Human Machine Interfaces (HMI) and ambient monitors allow for context-aware devices; Infineon’s microphones based on high-end microelectromechanical systems (MEMS) already play a crucial role in smartphones, wearables, and smart speakers, enabling AI-based language solutions for enhanced consumer experience; Infineon radar solutions enable reliable object recognition e.g. in autonomous driving; And in electric cars and industrial automation, Infineon’s magnetic sensors are key enablers for controlling motion precisely and its current sensors allow for better energy-efficiency in power inverters and batteries.

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Microchip’s PCI100x devices deliver high performance and cost efficiency for any application where accelerated or specialized computing is used

Efficient management of high-bandwidth data transfer and seamless communication between multiple devices or subsystems are critical in automotive, industrial and data center applications, making PCIe switches an indispensable solution. They provide scalability, reliability and low-latency connectivity, which are crucial for handling the demanding workloads of modern High-Performance Computing (HPC) systems. Microchip Technology today announces sample availability of the new PCI100x family of Switchtec PCIe Gen 4.0 switches in variants to support packet switching and multi-host applications.

The PCI1005 is a packet switch which expands a single host PCIe port to as many as six endpoints. The PCI1003 device enables multi-host connectivity through Non-Transparent Bridging (NTB) and is fully configurable to support from 4–8 ports. All devices are compliant with the PCI-SIG Gen5 specification and operate up to 16GT/s. High-speed DMA is supported on all variants. Advanced Switchtec technology features include Automatic Error Reporting (AER), Downstream Port Containment (DPC) and Completion Timeout Synthesis (CTS). The PCI100x devices are available in wide temperature ranges including commercial (0°C to +70°C), industrial (−40°C to +85°C) and Automotive Grade 2 (−40°C to +105°C) ambient ratings.

“The PCI100x family is a cost-effective solution that does not compromise on high performance and high reliability. It enables designers to now take advantage of PCIe switch capabilities for mass market automotive and embedded computing applications,” said Charles Forni, vice president of Microchip’s USB and networking business unit. “In addition to these connectivity solutions, customers can get many critical components from Microchip including timing, power management and sensors.”

Microchip’s broad portfolio of PCIe switches provides high-density, low-power and reliable solutions for applications like data centers, GPU servers, SSD enclosures and embedded computing. The portfolio also includes Flashtec NVMe controllers and NVRAM drives, Ethernet PHYs and switches, timing solutions and Flash-based FPGAs and SoCs, supporting markets such as storage, automotive, industrial and communications. For more information about PCIe switches.

Pricing and Availability

The PCI1005 and PCI1003 switches are now available in limited sample quantities. Pricing for the PCI1005 commercial variant is $43 each in 1,000-unit quantities (note pricing is subject to change). For additional information and to purchase, contact a Microchip sales representative or visit Microchip’s Purchasing and Client Services website, www.microchipdirect.com.

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With the automotive industry continuing to evolve, features that were once considered premium are now becoming standard. As a result, smart low-voltage motors will play an increasingly important role in shaping tomorrow’s user experience in the vehicle. Automotive manufacturers are looking for more reliable, energy-efficient and cost-effective semiconductor solutions that can work effectively even under the given harsh conditions. To address this demand, Infineon Technologies AG is now expanding its portfolio with the MOTIX Bridge BTM90xx family, a product family of full-bridge/ H-bridge integrated circuits (ICs), specifically designed for brushed DC motor applications. The new BTM90xx full-bridge ICs complement the MOTIX low-voltage motor control IC portfolio spanning from driver ICs to highly integrated system-on-chip (SoC) solutions. BTM90xx devices are not limited to but in particular optimized for automotive applications such as door, mirror, seat, body and zone control modules. Accompanying safety documentation is available to allow use also in safety relevant applications.

The BTM90xx family is characterized by a high functionality to enable intelligent and tiny motor control solutions. The devices, with a supply voltage range for normal operation of 7 V to 18 V (extended 4.5 V to 40 V) offer extensive protection and diagnostic functions such as overtemperature, undervoltage, overcurrent, cross-current or short-circuit detection. Currents are measured for both the high-side and low-side switches and the devices are suitable for automotive applications with a current limit of at least 10 A (BTM901x) or 20 A (BTM902x). PWM operation is possible for frequencies up to 20 kHz. The BTM9011EP and BTM9021EP are SPI variants and support pin-saving daisy chain function to help reduce overall system costs. BTM9021 in addition features an integrated watchdog. The BTM90xx’s tiny TSDSO-14 (4.9 x 6.0 mm) package reduces the overall PCB board space required and features a large exposed pad that simultaneously improves the device’s thermal performance.

To simplify the evaluation and design-in process for MOTIX BTM90xx, Infineon also provides a comprehensive support package, including technical product documentation, simulation models, a tool for calculating power dissipation, evaluation boards and Arduino example code. In addition, software (MOTIX BTM90xx Device Driver) and the MOTIX Full Bridge IC Configuration Wizard are available for free at the Infineon Developer Center (IDC).

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In the ever-expanding digital landscape, the terms “cybersecurity” and “ethical hacking” often get tossed around interchangeably. While both disciplines share a common goal – protecting our valuable data and systems from malicious actors – their approaches and objectives diverge significantly. Understanding these distinctions is crucial for navigating the complex terrain of the digital frontier.

Cybersecurity: Building the Fortress

Cybersecurity can be likened to a meticulously constructed fortress, safeguarding our digital assets from unauthorized access, theft, disruption, modification, or destruction. It encompasses a comprehensive set of strategies, technologies, and practices designed to deter, detect, and mitigate cyberattacks.

• Defense in Depth: Cybersecurity professionals employ a layered defense approach, akin to building multiple walls around a castle. This includes firewalls, intrusion detection/prevention systems (IDS/IPS), data encryption, access controls, and user education. Each layer serves as a barrier, making it progressively harder for attackers to breach the system.
• Continuous Monitoring: Vigilance is paramount in cybersecurity. Security professionals constantly monitor network activity, system logs, and user behavior for anomalies that might indicate a potential attack. Security Information and Event Management (SIEM) systems play a vital role in this ongoing process, aggregating data from various sources and providing real-time insights into potential threats.
• Incident Response: Despite the best-laid plans, cyberattacks can still occur. Cybersecurity professionals develop and implement incident response plans to effectively respond to security breaches. These plans outline procedures for containing the damage, eradicating the threat, and restoring affected systems.

Ethical Hacking: Testing the Walls

Ethical hacking, on the other hand, embodies a proactive approach to cybersecurity. Ethical hackers, also known as white hat hackers or penetration testers, are security professionals who are authorized to simulate cyberattacks on a system or network. Their objective is to identify vulnerabilities that malicious actors might exploit and recommend appropriate security measures to address them.

• Vulnerability Assessment and Penetration Testing (VAPT): This is the cornerstone of ethical hacking. Ethical hackers employ a variety of tools and techniques, mirroring those used by real-world attackers, to probe for weaknesses in systems and networks. They may attempt to gain unauthorized access, exploit software vulnerabilities, or bypass security controls.
• Social Engineering Assessments: Ethical hackers don’t just focus on technical vulnerabilities. They also assess the human element of security by conducting social engineering simulations. This involves mimicking tactics used by attackers, such as phishing emails or pretext calls, to evaluate employee awareness and susceptibility to social engineering attacks.
• Red Teaming and Purple Teaming: Ethical hacking can be taken a step further through red teaming and purple teaming exercises. Red teaming exercises simulate a full-blown cyberattack, allowing organizations to assess their overall security posture and response capabilities. Purple teaming exercises involve collaboration between ethical hackers and security teams, fostering communication and knowledge sharing to strengthen the organization’s defenses.

The Synergy Between Cybersecurity and Ethical Hacking

While cybersecurity and ethical hacking operate on different sides of the digital security spectrum, they share a symbiotic relationship. Cybersecurity professionals rely on the insights gleaned from ethical hacking to identify and address vulnerabilities before they can be exploited by malicious actors. Ethical hackers, in turn, depend on a strong understanding of cybersecurity principles and best practices to effectively simulate real-world attacks.

Key Distinctions: A Comparative Analysis

• Objectives: Cybersecurity aims to defend systems and data from unauthorized access and attacks. Ethical hacking, on the other hand, proactively identifies vulnerabilities in systems to improve security posture.
• Methodology: Cybersecurity professionals employ a defensive approach, deploying security tools and monitoring systems for suspicious activity. Ethical hackers take an offensive stance, simulating attacks to uncover vulnerabilities.
• Legality: Cybersecurity activities are always legal and authorized. Ethical hacking is legal only when conducted with explicit permission from the system or network owner.
• Outcomes: Effective cybersecurity practices minimize the risk of cyberattacks. Ethical hacking identifies vulnerabilities that can be addressed to strengthen overall security.

The Evolving Landscape: The Rise of Bug Bounties

The recognition of the value of ethical hacking has led to the emergence of bug bounty programs. These programs incentivize security researchers to identify and report vulnerabilities in software or systems. Organizations can leverage these programs to discover and address vulnerabilities before they are exploited by malicious actors.

Conclusion: A United Front in the Digital Age

Cybersecurity and ethical hacking, though distinct disciplines, are both essential components of a comprehensive digital security strategy. By combining the proactive vulnerability identification of ethical hacking with the defensive measures of cybersecurity, organizations can create a robust and innovative security ecosystem that can adapt to the rapidly changing threat landscape and safeguard our increasingly interconnected digital world.

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The Internet of Things (IoT), a revolutionary concept seamlessly intertwining the physical and digital realms, is no longer a distant futuristic vision but a rapidly unfolding reality. At its core, IoT represents a vast network of interconnected devices—ranging from the mundane to the extraordinary—imbued with the ability to sense, communicate, and act upon their environment. From wearable fitness trackers and household appliances to industrial machinery and precision agricultural tools, IoT’s potential to transform our world is profound and unprecedented.

The Foundation of Connectivity: Data as the Lifeblood

The genesis of IoT lies in its capacity to generate, collect, and utilize data. Embedded within these interconnected devices are arrays of sensors—meticulously designed instruments that monitor a myriad of parameters such as temperature, humidity, motion, location, and more. These sensors act as the IoT’s nervous system, continuously gathering data from their environment. Once collected, this raw data becomes the lifeblood of IoT, driving transformative applications across various industries.

However, the process doesn’t end with data collection. IoT’s effectiveness depends heavily on its ability to transmit this data reliably and efficiently. The advent of high-speed networks, particularly 5G technology, has proven instrumental in this endeavor. With its ultra-low latency, high data transfer speeds, and capacity to connect billions of devices simultaneously, 5G serves as the critical backbone for real-time data exchange. This capability is crucial for applications like autonomous vehicles, which rely on instantaneous communication with traffic signals and other vehicles, or remote surgical procedures that demand precise, latency-free control.

The Intelligence Quotient: AI and Machine Learning

While the collection and transmission of data form the foundational layers of IoT, the true transformative power lies in intelligent data processing and interpretation. Artificial Intelligence (AI) and Machine Learning (ML) algorithms are pivotal in this aspect, acting as the cognitive engines of IoT.

AI systems analyze massive datasets to uncover intricate patterns and predict future outcomes. For instance, in manufacturing, AI-powered predictive analytics can monitor sensor data from industrial equipment to forecast potential failures, enabling proactive maintenance and minimizing costly downtime. Similarly, in smart cities, AI algorithms analyze traffic flow and identify congestion hotspots, optimizing traffic management systems to reduce delays and improve urban mobility.

Machine Learning models also enhance IoT by enabling devices to adapt to changing conditions over time. Smart thermostats, for example, learn user preferences and environmental patterns to optimize energy consumption without manual intervention.

A Tapestry of Applications: Weaving a Smarter World

IoT’s impact extends across multiple industries, each leveraging its potential to innovate and optimize operations.

1. Smart Cities

IoT technologies are integral to building smart cities, where interconnected systems manage resources efficiently and sustainably. Smart grids optimize energy distribution, intelligent traffic systems reduce congestion, and IoT-enabled sensors monitor air quality to improve urban health standards. Cities like Singapore and Barcelona have already implemented IoT solutions to enhance public safety, transportation, and energy efficiency.

2. Healthcare

In healthcare, IoT has revolutionized patient care through wearable devices and remote monitoring systems. These devices collect real-time health data, such as heart rate, blood pressure, and glucose levels, enabling personalized and proactive medical interventions. Remote monitoring also allows healthcare providers to track patients’ conditions outside hospital settings, reducing costs and improving accessibility.

3. Industrial Automation

The Industrial Internet of Things (IIoT) is driving significant advancements in manufacturing and supply chain management. Smart factories utilize interconnected machines to monitor production processes, detect anomalies, and optimize workflows. Predictive maintenance powered by IoT sensors reduces equipment downtime, while real-time tracking enhances inventory management and logistics.

4. Agriculture

Precision agriculture leverages IoT-enabled sensors to monitor soil moisture, weather conditions, and crop health. Farmers can optimize irrigation schedules, apply fertilizers more effectively, and predict pest infestations, leading to higher yields and reduced environmental impact. These technologies are especially valuable in addressing the challenges of food security and climate change.

5. Consumer Electronics

Smart home devices, such as voice-activated assistants, connected lighting systems, and intelligent appliances, have become mainstream. These devices enhance convenience and energy efficiency, creating personalized living environments for users.

The Future of IoT: A Horizon of Possibilities

The evolution of IoT is an ongoing journey fueled by technological innovation. Several key trends are shaping its future:

1. Edge Computing

As the volume of data generated by IoT devices continues to explode, the need for decentralized processing becomes critical. Edge computing addresses this challenge by processing data closer to its source, reducing latency and bandwidth requirements. Applications such as autonomous vehicles and industrial automation greatly benefit from the responsiveness enabled by edge computing.

2. Blockchain Technology

Blockchain’s inherent security and transparency make it a valuable tool for IoT. By providing tamper-proof data storage and secure transaction mechanisms, blockchain enhances trust within the IoT ecosystem. This is particularly important for applications involving sensitive data, such as healthcare and finance.

3. Low-Power Wide-Area Networks (LPWAN)

Technologies like LoRaWAN and NB-IoT are expanding the reach of IoT into remote and challenging environments. These networks enable long-range communication for battery-powered devices, supporting applications in agriculture, logistics, and environmental monitoring.

4. Interoperability and Standards

The diverse array of devices and platforms in the IoT ecosystem necessitates standardized communication protocols. Efforts to establish universal standards will be critical for ensuring seamless integration and scalability across different IoT applications.

5. Sustainability

As IoT adoption grows, so does its environmental impact. The development of energy-efficient devices, sustainable manufacturing practices, and recycling programs for IoT components will be essential to mitigate this impact.

Challenges and Considerations

Despite its potential, IoT faces several challenges that must be addressed:

• Security and Privacy: With billions of connected devices, the risk of cyber-attacks and data breaches is significant. Implementing robust security measures, such as encryption and real-time threat detection, is crucial.
• Scalability: Managing the massive influx of IoT devices and data requires scalable infrastructure and efficient resource allocation.
• Cost and Accessibility: The initial investment in IoT infrastructure can be prohibitive for smaller organizations, underscoring the need for cost-effective solutions.
• Regulatory Compliance: As IoT applications intersect with various industries, ensuring compliance with regulatory standards is a complex yet essential task.

Conclusion

The Internet of Things represents a paradigm shift, a convergence of technology, data, and intelligence poised to reshape our world. By harnessing the power of interconnected devices, AI-driven insights, and robust communication networks, IoT has the potential to create a smarter, more sustainable future. From optimizing urban living to revolutionizing healthcare and agriculture, the applications of IoT are as diverse as they are impactful.

As we continue to navigate this transformative era, addressing challenges such as security, interoperability, and sustainability will be paramount. With continued innovation and collaboration, IoT stands ready to enrich the human experience, weaving a tapestry of connectivity and intelligence that defines the future.

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• STMicroelectronics has been awarded “Top Employer Global” certification for the first time
• 17 companies in the world have obtained this international certification for 2025
• ST entities in 41 countries certified as Top Employer

STMicroelectronics, a global semiconductor leader serving customers across the spectrum of electronics applications, has been recognized for the first time as a global Top Employer for 2025 by Top Employers Institute.

This year STMicroelectronics was one of only 17 global Top Employers to be recognized by Top Employers Institute for their outstanding HR policies and practices worldwide, covering ST entities in 41 countries. The Top Employers Institute program certifies organizations based on the participation and results of their HR Best Practices Survey. STMicroelectronics was distinguished in this ranking thanks to a continuous improvement approach and stands out particularly in the themes of Ethics & Integrity, Purpose & Values, Organization & Change, Business Strategy, and Performance.

“A couple of years ago, we began a people-centric transformation to enhance our leadership culture, simplify and digitalize people processes, with the employee journey and experience as our north star. Achieving the Top Employer Global certification confirms that our efforts are well-directed, and that ST is a place where every talent can thrive, regardless of their career stage or perspective,” said Rajita D’Souza, President, Human Resources & Corporate Social Responsibility, STMicroelectronics.

“We’re excited that STMicroelectronics certified as a global Top Employer for the first time. They have particularly showcased their strengths in areas such as Organisation & Change, Ethics & Integrity, Purpose & Values and Business Strategy. This Certification shows ST’s commitment to creating a better world of work through their HR initiatives and practices, by demonstrating how they support their colleagues across 41 countries,” said David Plink, CEO Top Employers Institute.

The Top Employers Institute survey, followed by validation and audit, covers six HR domains consisting of 20 topics including People Strategy, Work Environment, Talent Acquisition, Learning, Diversity & Inclusion, Wellbeing and more. The program has certified and recognized over 2,400 Top Employers in 125 countries/regions across five continents.

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Author: STMicroelectronics

As ST recently released X-CUBE-MCSDK 6.3.2, let us delve into its firmware libraries and its Graphical User Interface (GUI) to see how it can help create motor control applications. Designed for permanent magnet synchronous (PMSM) and BLDC motors using FOC (Field-oriented control) or 6-steps, it has gained popularity since we launched it in 2018 because it helps engineers bring their solutions to market faster. For instance, the algorithms from ST will maximize efficiency and facilitate the implementation of critical features like on-the-fly startup for air conditioning fans, a single shunt for cost-effective solutions, flux weakening for washing machines, and a rotor’s angular position detection for sensorless applications.

X-CUBE-MCSDK: Latest highlights HSO

Over the years, X-CUBE-MCSDK has received new algorithms that have changed what is capable on BLDC motors and PMSM, such as HSO or high-sensitivity observer. In a nutshell, HSO is a field-oriented control algorithm that enables an application to figure out the rotor’s position and speed without needing a sensor. It’s particularly useful with PMSM sensorless motors running at low speeds in home appliances, for instance, because cost is such a critical factor. To attract new customers, manufacturers must lower their bill of materials, which means doing away with sensors and using more cost-effective MCUs, like an STM32G4. By using HSO, engineers can meet those constraints.

ZeST

ZeST (zero-speed full torque) is another algorithm meant to optimize the operations of sensorless motors by enabling them to recover from a complete stop. Combined with HSO, it can detect when a motor is no longer rotating and immediately resume operations. Accordingly, since most applications don’t need to know if a motor has ceased turning, most developers will only need to use HSO, which has been available in X-CUBE-SDK since version 6.2. However, engineers working on applications that could use ZeST can reach out to their local ST representative and seek to enable the STM32 ZeST and implement the feature in their application.

The idea behind HSO and ZeST isn’t new, and more seasoned engineers will be familiar with the phase-locked loop (PLL) observer, a technique (also found in X-CUBE-MCSDK) that determines the rotor position and speed without a sensor. However, combining HSO and ZeST helps alleviate some of PLL’s shortcomings, such as its inability to work under a minimum motor speed. Additionally, HSO and ZeST take advantage of the STM32G4 to run without maximizing CPU usage, despite how advanced these algorithms are. HSO and ZeST also have a shorter start-up time and do not generate high peak current, resulting in an energy saving between 15% and 40% in a typical washing machine application.

Regular updates

X-CUBE-MCSDK receives regular updates. Before version 6.3.1 in September 2024, we launched version 6.3 in May 2024, which brought support for new MCUs, like the STM32C0, our new entry-level device, and new STSPIN32 devices like the STSPIN32G4. It also added a new Board Designer tool and the ability to spec user boards using JSON to simplify developments. And while all versions of X-CUBE-MCSDK are mindful of legacy support, previous versions have also brought new features like BLCD six-step motors, monitoring, and profiling. Put simply, X-CUBE-MCSDK is a unique way to create motor control applications because it demystifies complex notions and makes modern algorithms and development paradigms more accessible.

X-CUBE-MCSDK and its robust firmware architecture Motor Control Libraries now based on STM32Cube

A significant advantage of the new SDK resides in the use of a different programming paradigm to ensure developers get a code that is a lot easier to customize and debug. Before X-CUBE-MCSDK, certain aspects of our libraries used object-oriented concepts inherited from C++. We rewrote them to something more approachable in C to simplify application development. For example, we no longer cast some expressions to void, a popular method in C++ to suppress compiler warnings, but that tends to complicate debugging operations drastically. Porting libraries to C also helped optimize applications as teams can more easily improve performance and efficiency.

X-CUBE-MCSDK was thus a major internal overhaul accompanied by massive updates to our SDK’s libraries. Indeed, previous versions used older code that was no longer standard on STM32 MCUs. STM32Cube is the de facto solution for all developments on our microcontrollers. It offers Hardware Abstraction Layers (HAL), increases portability between STM32 MCUs, and offers low-level APIs, drivers, and other Middleware components to make the ST ecosystem more accessible and efficient. X-CUBE-MCSDK brought the same standard libraries, so developers familiar with STM32Cube could have a much easier time with the code and reuse a significant chunk of their application from one project to the next.

X-CUBE-MCSDK and its flexible GUI Interface of STM32CubeMX

Aside from internal modifications that may not always be obvious, the new SDK works in conjunction with STM32CubeMX. Indeed, X-CUBE-MCSDK still uses MC-Workbench, a graphical tool where engineers can enter their motor and sensors’ parameters to generate custom code for their setup. When developers want to change the preselected configuration, such as the STM32 part number, the pinout configuration, the clock configuration, or add peripherals for new communication interfaces, they can more easily generate a new code for their application by using STM32CubeMX. They are also free to customize projects and add custom code (extra PID control loop, for instance) within tags created by STM32CubeMX.

The ST Community is fond of the STM32CubeMX configuration tool because it uses STM32Cube libraries and an intuitive interface to quickly generate header files, taking complex design operations out of developers’ hands. Using a step-by-step process, it’s easy to configure pinouts, clock trees, and peripherals, as well as resolve conflicts, among other things. If designers working on a motor control application decide to use another MCU in the middle of their prototyping phase, they will merely need to open STM32CubeMX, and will much more quickly port the work done on the previous MCU. X-CUBE-MCSDK thus brought a new level of flexibility.

ST teams are already working on the next updates. In the meantime, the best way to start working on a motor control solution is to check out our dedicated Wiki and ask questions on our Community forum. The Wiki will guide users by showing them how to run example applications on ST development boards to hasten prototyping. It’s also a quick way to see how we implemented our libraries and can thus serve as the basis for a project. For instance, the page on the six-step algorithm helps engineers with less experience understand what is happening while also providing a walkthrough of the GUI and compatible boards.

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