Methods and systems for processing radar reflections

Patent metadata

Field	Value
Publication number	US-12130381-B2
Application number	US-202016910829-A
Country	US
Kind code	B2
Filing date	Jun 24, 2020
Priority date	Jul 19, 2019
Publication date	Oct 29, 2024
Grant date	Oct 29, 2024

Abstract

A computer implemented method for processing radar reflections includes receiving radar reflections by at least one radar sensor; determining a target angle under which radar reflections related to a potential target are received by the at least one radar sensor; and determining an energy of radar reflections received by the at least one radar sensor under a pre-determined angular region around the target angle.

First claim

We claim:

1. A computer implemented method for processing radar reflections, the method comprising:
receiving radar reflections by at least one radar sensor;
determining a target angle under which radar reflections from a potential target are received by the at least one radar sensor;
determining a target angle energy and a Doppler frequency of the radar reflections received by the at least one radar sensor at the target angle;
determining a velocity of the potential target based on the Doppler frequency of the radar reflections recited by the at least one radar sensor at the target angle;
determining a region of interest including the target angle and an angular region on each side of the target angle;
determining a Doppler frequency region that corresponds to a predetermined velocity region around the velocity of the potential target;
determining an energy of radar reflections received by the at least one radar sensor within the Doppler frequency region at each of a plurality of angles within the region of interest including the target angle and the determined angular region on each side of the target angle;
determining a total accumulated energy in the region of interest and within the Doppler frequency region by summing the target angle energy and each of the energies of the radar reflections within the Doppler frequency region at the plurality of angles within the region of interest; and
at least one of detecting and classifying the potential target based on the total accumulated energy in the region of interest and within the Doppler frequency region.

2. The computer implemented method of claim 1 , wherein the energy of the radar reflections received by the at least one radar sensor within the determined angular region is related to a range of the potential target.

3. The computer implemented method of claim 1 , wherein the energy of the radar reflections received by the at least one radar sensor within the determined angular region is related to a pre-determined range region around a range of the potential target.

4. The computer implemented method of claim 1 , further comprising determining a correlation coefficient between the target angle energy and the determined energy at the plurality of angles within the determined angular region.

5. The computer implemented method of claim 1 , further comprising determining a respective energy for a plurality of ranges of potential targets.

6. The computer implemented method of claim 1 , further comprising determining a respective energy for a plurality of velocities of potential targets.

7. The computer implemented method of claim 1 , further comprising providing an energy for a plurality of ranges of potential targets and for a plurality of velocities of potential targets as an energy related feature vector to a neural network for further processing.

8. The computer implemented method of claim 7 , further comprising
determining further feature vectors based on the radar reflections; and
providing the further feature vectors to the neural network.

9. The computer implemented method of claim 1 , wherein
the radar reflections comprise channel data received by a plurality of antennas; and
determining the energy of the radar reflections received by the at least one radar sensor within the determined angular region around the target angle is based on carrying out a Fourier transform of the channel data received by the plurality of antennas.

10. The computer implemented method of claim 1 , wherein
a first portion of the computer implemented method is performed by a first portion of computer hardware components;
a second portion of the computer implemented method is performed by a second portion of the computer hardware components; and
the first portion of the computer hardware components are connected to the second portion of the computer hardware components via a communication structure.

11. The computer implemented method of claim 10 , comprising transmitting intermediate data as input for the second portion of the computer implemented method from the first portion of the computer hardware components to the second portion of the computer hardware components via the communication structure.

12. The computer implemented method of claim 10 , comprising:
encoding intermediate data as input for the second portion of the computer implemented method in the first portion of the computer hardware components to obtain compressed data of a reduced size smaller than a size of the intermediate data;
transmitting the compressed data from the first portion of the computer hardware components to the second portion of the computer hardware components via the communication structure;
decoding the compressed data in the second portion of the computer hardware components; and
providing the decoded compressed data as input to the second portion of the computer implemented method.

13. A computer system, comprising a plurality of computer hardware components configured to perform the computer implemented method of claim 1 .

14. The computer system of claim 13 ,
wherein a first portion of the computer hardware components is provided in a radar sensor unit; and
wherein a second portion of the computer hardware components is provided in a central radar perception unit.

15. A non-transitory computer readable medium comprising instructions that when executed by at least one processor cause the at least one processor to perform the computer implemented method of claim 1 .

16. The computer implemented method of claim 1 , wherein the at least one of the detecting and classifying the potential target based on the total accumulated energy in the region of interest and within the Doppler frequency region at the plurality of angles within the region of interest comprises determining an average energy based on the total accumulated energy and using the determined average for the at least one of the detecting and classifying.

17. The computer implemented method of claim 1 , wherein the target angle corresponds to an energy peak of the radar reflections from the potential target and wherein determining the region of interest includes determining the angular region on each side of the target region such that the energy of radar reflections at each angle in the angular region lies within a predetermined energy bandwidth from the energy peak.

Assignees

• Aptiv Technologies AG

Inventors

• Kästner Florian
• Schoeler Markus
• Meuter Mirko
• Becker Adrian

Classifications

• G01S13/42

  Simultaneous measurement of distance and other co-ordinates (indirect measurement G01S13/46) · CPC title

• G01S7/417

  involving the use of neural networks · CPC title

• G01S7/415

  Identification of targets based on measurements of movement associated with the target · CPC title

• H04N19/90

  using coding techniques not provided for in groups H04N19/10-H04N19/85, e.g. fractals · CPC title

• H03M7/3059

  Digital compression and data reduction techniques where the original information is represented by a subset or similar information, e.g. lossy compression · CPC title