Radar-based target tracker

US12399271B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12399271-B2
Application numberUS-202217869572-A
CountryUS
Kind codeB2
Filing dateJul 20, 2022
Priority dateJul 20, 2022
Publication dateAug 26, 2025
Grant dateAug 26, 2025

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

Official abstract text for this publication.

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.

First claim

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What is claimed is: 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.

Assignees

Inventors

Classifications

  • using transmission of continuous unmodulated waves, amplitude-, frequency-, or phase-modulated waves and based upon the Doppler effect resulting from movement of targets · CPC title

  • Power depending on the position of the mobile · CPC title

  • Delay profiles · CPC title

  • Received signal strength · CPC title

  • Combined with MTI or Doppler processing circuits · CPC title

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What does patent US12399271B2 cover?
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 resp…
Who is the assignee on this patent?
Infineon Technologies Ag
What technology area does this patent fall under?
Primary CPC classification G01S13/66. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Aug 26 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).