Method and system for estimating a radar calibration matrix

Patent metadata

Field	Value
Publication number	US-12455347-B2
Application number	US-202218059576-A
Country	US
Kind code	B2
Filing date	Nov 29, 2022
Priority date	Nov 30, 2021
Publication date	Oct 28, 2025
Grant date	Oct 28, 2025

Abstract

The present disclosure relates to a method and a system for estimating a radar calibration matrix. According to the method, an initial calibration matrix is received, and via a radar sensor, radar detections are acquired from the external environment of the radar sensor. A plurality of beam vectors is determined which are derived from the radar detections, and a correction matrix is estimated based on the plurality of beam vectors. The initial calibration matrix and the correction matrix are combined in order to estimate a refined radar calibration matrix which is utilized as calibration matrix when applying the radar sensor.

First claim

What is claimed is:

1. A computer implemented method for estimating a radar calibration matrix, the method comprising:
receiving an initial calibration matrix;
acquiring, from a radar sensor, radar detections from an external environment of the radar sensor;
determining a plurality of beam vectors which are derived from the radar detections by a Fourier transform;
estimating a correction matrix based on the plurality of beam vectors; and
combining the initial calibration matrix and the correction matrix in order to estimate a refined radar calibration matrix which is utilized as a calibration matrix when applying the radar sensor;
wherein:
for each of the beam vectors, a respective adjustment matrix is estimated based on the respective beam vector;
the correction matrix is estimated by calculating an average over the adjustment matrices of the beam vectors;
the plurality of beam vectors covers a predetermined range of azimuth angles with respect to the radar sensor;
a grid of equidistant nodes is defined for an electric angle which is related to the azimuth angle; and
each of the plurality of beam vectors is assigned to one of the equidistant nodes of the grid for the electric angle.

2. The computer implemented method according to claim 1 , further comprising:
selecting a subset of available beam vectors, wherein the selected beam vectors are linearly independent.

3. The computer implemented method according to claim 2 , wherein a number of the beam vectors in the subset is equal to or greater than a number of antenna array elements of the radar sensor.

4. The computer implemented method according to claim 1 , wherein a respective azimuth angle is determined for each of the beam vectors based on a range rate that is estimated from the radar detections.

5. The computer implemented method according to claim 1 , wherein the steps of estimating the correction matrix and of combining the initial calibration matrix and the correction matrix are performed iteratively until a deviation between the refined radar calibration matrix and a previous refined radar calibration matrix being estimated in an immediately preceding iteration step is smaller than a predefined value.

6. The computer implemented method according claim 1 , further comprising:
determining the initial calibration matrix via a measurement in a calibration chamber at an azimuth angle of zero degrees and at an elevation angle of zero degrees.

7. The computer implemented method according to claim 1 , further comprising:
determining a range with respect to the radar sensor for each of the radar detections; and
using the radar detections for determining the plurality of beam vectors based on whether the determined range with respect to the radar sensor is greater than a predetermined range.

8. The computer implemented method according to claim 1 , further comprising:
determining, for each of the radar detections, whether a respective radar detection is related to a single scattering center, and
disregarding radar detections that are determined not related to the single scattering center.

9. A system comprising:
a plurality of computer hardware components including a processor; and
a non-transitory computer readable medium comprising instructions, which when executed by the processor, cause the processor to:
receive an initial calibration matrix;
receive a plurality of radar detections about an external environment of a radar sensor;
determine a plurality of beam vectors which are derived from the radar detections by a Fourier transform;
estimate a correction matrix based on the plurality of beam vectors; and
combine the initial calibration matrix and the correction matrix in order to estimate a refined radar calibration matrix which is utilized as a calibration matrix when applying the radar sensor;

wherein:
for each of the beam vectors, a respective adjustment matrix is estimated based on the respective beam vector;
the correction matrix is estimated by calculating an average over the adjustment matrices of the beam vectors;
the plurality of beam vectors covers a predetermined range of azimuth angles with respect to the radar sensor;
a grid of equidistant nodes is defined for an electric angle which is related to the azimuth angle; and
each of the plurality of beam vectors is assigned to one of the equidistant nodes of the grid for the electric angle.

10. The system according to claim 9 , further comprising:
the radar sensor configured to acquire the plurality of radar detections.

11. The system according to claim 10 , wherein the non-transitory computer readable medium further comprises instructions, which when executed by the processor, cause the processor to:
utilize the refined radar calibration matrix when applying the radar sensor.

12. A vehicle comprising:
a radar sensor;
a processor;
a non-transitory data computer readable medium comprising instructions, which when executed by the processor, cause the processor to:
receive an initial calibration matrix;
acquire, via the radar sensor, a plurality of radar detections about an external environment of the radar sensor;
determine a plurality of beam vectors which are derived from the radar detections by a Fourier transform;
estimate a correction matrix based on the plurality of beam vectors; and
combine the initial calibration matrix and the correction matrix in order to estimate a refined radar calibration matrix which is utilized as a calibration matrix when applying the radar sensor;

wherein:
for each of the beam vectors, a respective adjustment matrix is estimated based on the respective beam vector;
the correction matrix is estimated by calculating an average over the adjustment matrices of the beam vectors;
the plurality of beam vectors covers a predetermined range of azimuth angles with respect to the radar sensor;
a grid of equidistant nodes is defined for an electric angle which is related to the azimuth angle; and
each of the plurality of beam vectors is assigned to one of the equidistant nodes of the grid for the electric angle.

13. The vehicle according to claim 12 , wherein the non-transitory computer readable medium further comprises instructions, which when executed by the processor, cause the processor to:
determine a range with respect to the radar sensor for each of the plurality of radar detections; and
use each of the plurality of radar detections to determine the plurality of beam vectors based on whether the determined range with respect to the radar sensor is greater than a predetermined range.

14. The vehicle according to claim 12 , wherein the non-transitory computer readable medium further comprises instructions, which when executed by the processor, cause the processor to:
determine, for each of the plurality of radar detections, whether the respective radar detection is related to a single scattering center, and
disregard radar detections that are determined not related to the single scattering center.

Assignees

• Aptiv Technologies AG

Inventors

• Statnikov Konstantin

Classifications

• G01S13/931

  of land vehicles · CPC title

• G01S7/40 Primary

  Means for monitoring or calibrating · CPC title

• G01S7/4026 Primary

  Antenna boresight · CPC title