A Method of Recognition of Rain and Snow Clutter Based on Millimeter Wave Radar

Abstract

The invention discloses a method for identifying rain and snow clutter based on a millimeter wave radar. The steps are as follows: the millimeter wave radar processes received echo data to obtain a range Doppler heat map; The energy values ​​of multiple specified areas on the Doppler heat map; in the case of rain and snow, calculate the energy values ​​of multiple specified areas on the Doppler heat map, compare them with the energy values ​​of normal weather, and judge whether they are all satisfied The conditional formula determines the addition and subtraction of the rain and snow mode counter in each detection cycle; when the rain and snow mode counter is greater than the set threshold, the radar enters the rain and snow mode, and automatically adjusts the detection threshold according to the energy average value, thereby suppressing the detection of rain and snow clutter targets . The invention can identify accurate rain and snow patterns and eliminate the influence of real targets on the recognition of rain and snow patterns; it can quantitatively estimate the magnitude of the current rainfall and dynamically adjust the detection threshold according to the magnitude of 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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