Vehicle-mounted radar target detection and estimation method and device based on angle estimation

Abstract

The invention discloses a vehicle-mounted radar target detection and estimation method and device based on angle estimation, and the method comprises the steps: S1, obtaining an echo signal of a target radar, carrying out the angle estimation, and obtaining angle spectrum data; S2, performing graying processing on the angle spectrum data obtained in the step S1 to preliminarily detect a target higher than a preset threshold value as a real target to obtain grayed angle spectrum data; S3, executing target detection on the graying angle spectrum data obtained in the step S2 to obtain a final target detection result, and outputting the final target detection result; the device comprises an angle estimation module, a target preliminary detection module and a target secondary detection module.The invention has the advantages of being simple in implementation method, low in cost, good in weak target detection performance, low in omission ratio and false alarm rate and the like.

Description

technical field [0001] The invention relates to the technical field of vehicle radar detection, in particular to a vehicle radar target detection and estimation method and device based on angle estimation. Background technique [0002] In order to achieve active vehicle safety, radar is usually installed in the vehicle to achieve collision avoidance, blind spot detection, etc. Typical millimeter-wave radar sensors, because they can work around the clock, can meet the requirements of the vehicle's adaptability to all-weather climates, and are not affected by harsh weather such as light, smog, and sandstorms, and have become the mainstream choice for automotive active safety. With huge market demand, automobiles in some areas have begun to be equipped with automotive millimeter-wave radar sensors such as anti-collision radars and blind spot detection radars. Vehicle radar detection has become the current main research direction. [0003] The environment in which the vehicle a...

AI Technical Summary

Problems solved by technology

[0006] No matter what kind of target DOA (Degree of Arrival, angle estimation) estimation algorithm (beam scanning FFT method, super-resolution algorithm such as MUSIC (Multiple SIgnal Classification) algorithm, etc.) is used for the target detection method of the above-mentioned vehicle radar, the angle estimation must It is carried out after the target detection. At present, the detection is based on the echo amplitude strength of the target. In CFAR detection, due to the need to avoid too many false targets, a higher threshold is usually set, resulting in some Weak targets with a smaller distance from RCS cannot be detected in time, such as distant human targets, resulting in missed detection of targets

Therefore, due to the weak RCS of targets such as human bodies, long-distance detection of human bodies has become an important problem for vehicle-mounted radars.

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