Rain and snow clutter identification method based on millimeter wave radar

Abstract

The invention discloses a rain and snow clutter identification method based on a millimeter-wave radar, and the method comprises the following steps: the millimeter-wave radar processes received echo data, and obtains a distance Doppler heat map; under the normal weather condition, energy values of a plurality of designated areas on the distance Doppler heat map are calculated; in rainy and snowy weather conditions, energy values of a plurality of designated areas on the distance Doppler heat map are calculated, the energy values are compared with energy values of normal weather, and addition or subtraction of a rain and snow mode counter in each detection period is determined by judging whether all the energy values meet conditional expressions; when the rain and snow mode counter is larger than the set threshold value, the radar enters the rain and snow mode, the detection threshold is automatically adjusted according to the energy mean value, and therefore rain and snow clutter target detection is restrained. Accurate rain and snow modes can be recognized, and the influence of a real target on rain and snow mode recognition is eliminated; the current rainfall can be quantitatively estimated, and the detection threshold is dynamically adjusted according to the current rainfall.

Description

technical field [0001] The invention belongs to the technical field of millimeter wave radar, and in particular relates to a method for identifying rain and snow clutter based on millimeter wave radar. Background technique [0002] When the millimeter-wave radar is used in a complex environment of rain and snow, the electromagnetic waves emitted by the radar are reflected back when encountering rain and snow targets, causing the radar to detect rain and snow clutter targets, thus causing radar false alarms and false alarms. This requires the radar to identify the state of the rain and snow environment and suppress the detection of rain and snow clutter targets. The prior art adopts a clutter target feature recognition method. The premise is that the radar has detected clutter targets. When the number of clutter targets is small, there is a problem of unreliable recognition of clutter target features; In this way, there is a situation where the target is misrecognized as a ...

AI Technical Summary

Problems solved by technology

The premise is that the radar has detected clutter targets. When the number of clutter targets is small, there is a problem of unreliable recognition of clutter target features; In this way, there is a situation where the target is misrecognized as a rain and snow clutter target; the rain and snow clutter is identified based on the point cloud target features detected by the radar. Risk judged as rain and snow clutter

After the existing technology recognizes the rain and snow mode, it suppresses the detection of rain and snow clutter targets by increasing the target detection threshold. When the rain and snow stop, there is a problem that it cannot switch back to the normal weather detection threshold, which loses the normal weather. Detection sensitivity

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