IP Library Granted Patent US 12,399,271
Granted Patent B2
US 12,399,271 · App. 17/869,572 · Granted Aug 26, 2025

Radar-based target tracker

Inventors: Saiveena Kesaraju (Mountain View, CA); Jagjit Singh Bal (Fremont, CA); Yue Sun (San Jose, CA)
Assignee: Infineon Technologies AG
G01S13/9047G01S13/583
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Quick Facts
Patent No.
US 12,399,271
App. No.
17/869,572
Granted
Aug 26, 2025
Kind
B2
Abstract

In an embodiment, a method includes: receiving a range-Doppler image (RDI) based on raw data from a radar sensor; performing moving target indication (MTI) filtering on the RDI to generate a first filtered radar image; performing constant false alarm rate (CFAR) detection on the first filtered radar image to generate a second filtered radar image; performing minimum variance distortionless response (MVDR) beamforming on the second filtered radar image to generate a range-angle image (RAI); performing CFAR detection on the RAI to generate a third filtered radar image; generating a point set based on the third filtered radar image; clustering targets of the point set; and tracking at least one of the clustered targets using a Kalman filter.

Claims (61)

1. A method comprising:

receiving a range-Doppler image (RDI) based on raw data from a radar sensor;

performing moving target indication (MTI) filtering on the RDI to generate a first filtered radar image;

performing constant false alarm rate (CFAR) detection on the first filtered radar image to generate a second filtered radar image;

performing minimum variance distortionless response (MVDR) beamforming on the second filtered radar image to generate a range-angle image (RAI);

performing CFAR detection on the RAI to generate a third filtered radar image;

generating a point set based on the third filtered radar image;

clustering targets of the point set; and

tracking at least one of the clustered targets using a Kalman filter.

2. The method of claim 1 , wherein each point of the point set comprises a signal strength component and a Doppler component.

3. The method of claim 2 , wherein each point of the point set comprises Cartesian coordinates.

4. The method of claim 3 , wherein clustering the targets comprises clustering the targets based on the Cartesian coordinates of each point of the point set.

5. The method of claim 2 , wherein each point of the point set comprises Polar coordinates.

6. The method of claim 1 , further comprising:

transmitting radar signals using the radar sensor;

receiving reflected radar signals using the radar sensor;

generating the raw data based on the reflected radar signals; and

generating the range-Doppler image based on the raw data.

7. The method of claim 6 , wherein generating the range-Doppler image comprises performing a range fast Fourier transform (FFT) on the raw data.

8. The method of claim 1 , wherein the radar sensor comprises two receiving antennas.

9. The method of claim 1 , wherein the radar sensor comprises more than two receiving antennas.

10. The method of claim 1 , further comprising:

radiating power with a first intensity using a transmitter of a communication device; and

when a first target of the tracked clustered targets is detected within a predetermined distance from the transmitter of the communication device, reducing the radiated power from the first intensity to a second intensity lower than the first intensity.

11. The method of claim 10 , wherein the radar sensor and the transmitter of the communication device are collocated in a same location.

12. The method of claim 11 , wherein a field of view of the radar sensor and a field of view of the transmitter of the communication device have a substantially identical angle.

13. The method of claim 10 , wherein a field of view of the radar sensor covers the transmitter of the communication device.

14. The method of claim 10 , wherein the communication device operates according to a 5G NR communication standard.

15. The method of claim 10 , wherein the transmitter of the communication device is located adjacent to a keyboard of a laptop, and wherein the radar sensor is located in a bezel of a display of the laptop.

16. The method of claim 1 , further comprising:

projecting a button into a first surface; and

when a first target of the tracked clustered targets is detected within a predetermined distance from the projected button, causing a first action to be performed.

17. The method of claim 16 , wherein projecting the button comprises projecting the button with a projector located in a hood of a kitchen.

18. The method of claim 17 , wherein the radar sensor is collocated with the projector.

19. The method of claim 17 , wherein the radar sensor is located in the first surface.

20. The method of claim 1 , wherein the radar sensor is located in a bezel of a display, and the method further comprises, when a first target of the tracked clustered targets is detected within a predetermined distance from the display, issuing a flag indicative of a user being too close to the display.

21. The method of claim 1 , wherein a first target of the tracked clustered targets corresponds to a center of a hand of a human.

22. A millimeter-wave radar system comprising:

a millimeter-wave radar sensor configured to transmit radar signals and receive reflected radar signals; and

a processing system configured to:

generate a range-Doppler image (RDI) based on the reflected radar signals,

perform moving target indication (MTI) filtering on the RDI to generate a first filtered radar image,

perform constant false alarm rate (CFAR) detection on the first filtered radar image to generate a second filtered radar image,

perform minimum variance distortionless response (MVDR) beamforming on the second filtered radar image to generate a range-angle image (RAI),

perform CFAR detection on the RAI to generate a third filtered radar image,

generate a point set based on the third filtered radar image,

cluster targets of the point set, and

track at least one of the clustered targets using a Kalman filter.

23. A device comprising:

a millimeter-wave radar sensor configured to transmit radar signals and receive reflected radar signals;

a communication device comprising a transmitter configured to radiate power with a first intensity; and

a processing system configured to:

generate a range-Doppler image (RDI) based on the reflected radar signals,

perform moving target indication (MTI) filtering on the RDI to generate a first filtered radar image,

perform constant false alarm rate (CFAR) detection on the first filtered radar image to generate a second filtered radar image,

perform minimum variance distortionless response (MVDR) beamforming on the second filtered radar image to generate a range-angle image (RAI),

perform CFAR detection on the RAI to generate a third filtered radar image,

generate a point set based on the third filtered radar image,

cluster targets of the point set,

track at least one of the clustered targets, and

when a first target of the tracked clustered targets is detected within a predetermined distance from the transmitter of the communication device, cause a reduction of the radiated power from the first intensity to a second intensity lower than the first intensity.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 20, 2023
From: INFINEON TECHNOLOGIES AMERICAS CORP.
To: INFINEON TECHNOLOGIES AG
Reel/Frame 063028/0593 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 26, 2022
From: KESARAJU, SAIVEENA; BAL, JAGJIT SINGH; SUN, YUE
To: INFINEON TECHNOLOGIES AMERICAS CORP.
Reel/Frame 060624/0168 →
Continuity (1)
Related Publication 20240027608A1 · Jan 25, 2024
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