Method for automatically updating clutter map of pavement tiny target detection radar

Abstract

The invention provides a method for automatically updating a clutter map of a pavement micro target detection radar, which can update the clutter map in real time, improve the detection probability ofa micro target of which the echo power is at the edge of a detection threshold, and avoid missing alarm and false alarm. After the pavement micro target detection radar is started, the pre-scanning is carried out to generate two clutter maps, the clutter maps are stored, one clutter map is subjected to smoothing processing and used for clutter map CFAR detection during detection scanning, and theother clutter map is directly stored without any processing. And during each time of detection scanning, a smoothed clutter map is called, an unsmoothed clutter map is updated according to a cluttermap automatic updating judgment condition after the scanning is completed, the updated clutter map is smoothed and a previous smoothed clutter map is replaced for the next detection scanning, and thesteps are repeated. Due to the existence of an automatic updating judgment condition, missing alarm caused by updating the target into the clutter map is avoided; the clutter map can be updated in real time in rainy and snowy days, and false alarm caused by accumulated water or accumulated snow is avoided.

Description

technical field [0001] The invention belongs to the technical field of tiny target detection, and in particular relates to a method for automatically updating radar clutter images for detection of tiny targets (below 5 cm) on the road surface. Background technique [0002] At present, millimeter-wave micro-target detection radars mostly use the CFAR detection algorithm based on clutter maps. After the radar is turned on, it first conducts a pre-scan to generate a clutter map, and subsequent micro-target detection radars do not change after the pre-scanning generates a clutter map. The clutter map will be regenerated until the next boot. [0003] First, when the radar operating environment has a large temperature difference between day and night, the reflection characteristics of the road surface will change slightly, resulting in the clutter map used not completely matching the current actual scene. Although this will not seriously affect the detection results, it will For ...

AI Technical Summary

Problems solved by technology

[0003] First, when the radar operating environment has a large temperature difference between day and night, the reflection characteristics of the road surface will change slightly, resulting in the clutter map used not completely matching the current actual scene. Although this will not seriously affect the detection results, it will For some targets whose echo power is on the edge of the detection threshold, it is easy to cause missed alarms; second, when encountering rainy and snowy weather, the echo characteristics of the road surface will change greatly, and the clutter map at this time is completely consistent with the actual scene. Inconsistency, resulting in errors in the CFAR detection of the clutter map, and the occurrence of missed and false alarms at the same time

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