Method for estimating noise in a radar sensor

Patent metadata

Field	Value
Publication number	US-2023213612-A1
Application number	US-202218061275-A
Country	US
Kind code	A1
Filing date	Dec 2, 2022
Priority date	Jan 3, 2022
Publication date	Jul 6, 2023
Grant date	—

Abstract

A method for estimating noise in a radar sensor, which generates a digital spectrum which indicates a received signal strength as a function of at least one discrete locating parameter, and on this spectrum a CFAR detection is carried out to decide whether an examined cell in the locating space contains a genuine radar target or just noise and a determination of a noise level is also carried out on the basis of the signal strengths in a selection of neighboring cells in the vicinity of the examined cell. The CFAR detection precedes the determination of the noise level and cells identified in the CFAR detection as target cells are excluded from the selection of the neighboring cells.

First claim

What is claimed is:

1 . A method for estimating noise in a radar sensor, which generates a digital spectrum which indicates a received signal strength as a function of at least one discrete locating parameter, the method comprising:
carrying out, on the spectrum, a detection to decide whether an examined cell in a locating space contains a genuine radar target or just noise; and determining a noise level based on the signal strengths in a selection of neighboring cells in the vicinity of the examined cell; wherein the detection precedes the determination of the noise level, and cells identified in the detection as target cells are excluded from the selection of the neighboring cells.

2 . The method as recited in claim 1 , wherein the detection is a CFAR detection.

3 . The method as recited in claim 1 , wherein, in the determination of the noise level, the signal strengths of the excluded neighboring cells are each replaced with an existing estimated noise value for a cell in a vicinity.

4 . The method as recited in claim 1 , wherein, in the determination of the noise level, a magnitude of a number of cells in the selection of the neighboring cells is reduced in accordance with a number of excluded neighboring cells.

5 . The method as recited in claim 1 , wherein, in the determination of the noise level, the signal strengths of the excluded neighboring cells are each replaced with signal values for nearby cells from an enlarged neighborhood.

6 . The method as recited in claim 1 , wherein the locating space is at least two-dimensional.

7 . The method as recited in claim 2 , wherein the CFAR detection is carried out in accordance with an OS-CFAR algorithm.

8 . The method as recited in claim 7 , in which the CFAR detection is carried out in accordance with a rank-only OS-CFAR algorithm.

9 . The method as recited in claim 1 , wherein, for the determination of the noise level, a window that has a size of N cells of the locating space is shifted over a matrix of the cells of the locating space and, at each position of the window, a cell contained in the window is the examined cell and remaining cells are the neighboring cells.

10 . The method as recited in claim 9 , wherein the window is one-dimensional.

11 . The method as recited in claim 9 , wherein the window is one-dimensional, the examined cell is located at one end of the window and, the window is moved over the cell matrix such that the end at which the examined cell is located traverses each cell of the cell matrix before any other part of the window.

12 . The method as recited in claim 9 , wherein the window is a multi-dimensional window, the examined call is located in a corner of the window, and the window is moved over the cell matrix such that the corner at which the examined cell is located traverses each cell of the cell matrix before any other part of the window.

13 . The method as recited in claim 9 , wherein estimated values for the noise level of successive cells are calculated iteratively.

14 . The method as recited in claim 9 , wherein N is a power of two.

15 . The method as recited in claim 9 , wherein the window size N varies depending on a current position of the window.

16 . The method as recited in claim 9 , wherein individual cells are hidden within the window such that they do not contribute to the noise estimation.

17 . A radar system, comprising:
a radar sensor; and an electronic evaluation system; wherein the radar sensor is configured to generate a digital spectrum which indicates a received signal strength as a function of at least one discrete locating parameter; and wherein the electronic evaluation system is configured to:
carry out, on the spectrum, a detection to decide whether an examined cell in a locating space contains a genuine radar target or just noise; and
determine a noise level based on the signal strengths in a selection of neighboring cells in the vicinity of the examined cell;
wherein the detection precedes the determination of the noise level, and cells identified in the detection as target cells are excluded from the selection of the neighboring cells.

18 . The radar system as recited in claim 17 , wherein the evaluation system includes a noise estimator, which includes a FIFO memory having N memory cells and a bit shifter, where N is a power of two.

Assignees

• Bosch Gmbh Robert

Inventors

• Koehler Daniel
• Meinl Frank

Classifications

• G01S7/021 Primary

  Auxiliary means for detecting or identifying radar signals or the like, e.g. radar jamming signals · CPC title

• G01S13/931 Primary

  of land vehicles · CPC title

• G01S7/41 Primary

  using analysis of echo signal for target characterisation; Target signature; Target cross-section · CPC title

• H04L25/0292

  Arrangements specific to the receiver end · CPC title

• H04L25/03178

  Arrangements involving sequence estimation techniques · CPC title