What If We Had Radar That Recognized Us From the Way We Walk?

Sensors Insights by Wim Van Thillo

The future Internet of Things (IoT), with its intuitive applications, will operate based on an broad stream of data supplied by sensors placed everywhere. These will be sensors that are many times smarter and more sensitive than the ones we have today. They will also be produced and installed in far greater numbers and be much cheaper than they are now. One example of such a sensor is a radar, a simplified version of which is already used in high-end automobiles to enable the vehicle to take over a number of tasks from the driver.

Current radar sensors still much resemble the radars that are used to regulate air and sea traffic. They are mostly manufactured using specific Si-Ge (silicon-germanium) technology. The resulting sensors are rather large and expensive, which makes them unsuited for unobtrusive integration into applications such as self-driving cars or drones.

For one example, imec develops radar chips based on CMOS technology. Ultimately, the aim is to develop a compact radar-on-chip that offers far greater performance at a much lower power consumption than is the case at the moment. It is also a goal to incorporate a number of additional features and capabilities. For example, over time, we envisage a radar that is capable of distinguishing pedestrians from cyclists. That technology might even allow identification of individuals from the way they walk. Making that radar, based on we already have developed today is a challenge for the years ahead.

Over the past three years we have been working on the building blocks for just such a radar-on-chip in 28 nm CMOS technology. So far we have developed an effective 79-GHz transceiver, which in 2015 was also integrated with antennas on a micro-PCB. The result is a fairly complete radar system measuring just a few square centimeters.

The next step in our program is to make those building blocks even better, with additional features and an even better resolution. And at a system level, we plan to develop applications that far exceed the capabilities of today's radars.

One of the ways to make a radar sensor smaller and more sensitive is to work with an even higher signal frequency. This leads to development of the building blocks for a 140-GHz radar. Using even smaller antennas integrated onto the chip itself will result in an enhanced Doppler resolution and a better depth resolution.

In parallel, we are implementing smart signal processing for 79-GHz and 140-GHz systems. The reflected signal received by our radar not only contains information about the position of the objects around the radar, but also about their movements.

This "micro-Doppler" information makes it possible to distinguish pedestrians from runners, cyclists or animals. It might eventually even be used to distinguish individuals from one another. So, for instance, a car would be able to identify its driver and allow access based on the radar information.

Making this micro-Doppler information accessible requires algorithms for pattern recognition and automatic learning, algorithms that are currently used in image processing. With these our radar will learn to recognize and distinguish the micro-Doppler signature of individual objects. In a subsequent stage, we will then combine the signals of multiple radars to create a full 360-degree image of what is going on around the car.

And finally, to make the picture more complete and even smarter, our aim is to combine the radar information with that of other applications such as cameras or ultrasonic sensors. Each type of sensor has a field of application for which it supplies unique information, and image sensors are typically better at recognizing markings on the road or traffic signs. This sensor fusion is what we ultimately want to arrive at.

About the Author

Wim Van Thillo is program director for Perceptive Systems at imec. Wim received the M.S. degree in electrical engineering from the KU Leuven in 2005, and a PhD degree in engineering from the same university in 2010, after four years of research in imec's wireless communications group. Wim was also visiting researcher at UC Berkeley's Connectivity Lab. His research interests include digital signal processing and system design for millimeter-wave communication and sensing systems. Since January 2015 Wim is responsible for imec's research in cellular and Wi-Fi transceivers, 60-GHz communications, and 79-GHz and 140-GHz radar sensors.

Related Stories

TE Connectivity's John Mitchell Talks IoT, Sensors, Predictions, And Expectations

Government Regulations Drive Automotive Sensors Market

Automotive Test Equipment Market Worth 600.7 Million USD by 2021

Suggested Articles

Sidewalk is designed to allow neighbors to share a wireless network for IoT devices

President Trump issued his “blessing” of the tentative deal on Saturday and then directed a delay of a week of a ban on TikTok downloads.

Company also foresees a Poseidon generation for 2022 and beyond