Constant false alarm detection method in rain clutter environment

Abstract

A constant false alarm detection method in a rain clutter environment is provided. The method comprises the following steps: step 1: calculating a detection threshold product factor alpha in a staticbackground; step 2: estimating a standard deviation sigma 0 of a static background sample; step 3: collecting a standard deviation sigma c of a background sample in the rain clutter environment; step4: calculating an adaptive detection threshold product factor; and step 5: obtaining a detection threshold by using the adaptive detection threshold product factor obtained in step 4, and performing target detection. Compared with a conventional detection method, according to the method provided in the present invention, the detection threshold can be adaptively adjusted according to a rainfall amount, to prevent a problem of a significantly rising false alarm rate caused by a rain clutter, thereby ensuring target detection performance. The method is simple in operational implementation, remarkable in engineering application effect, and strong in expansibility, and can be widely applied to ground radar application fields such as airport foreign objects and airspace security.

Description

technical field [0001] The invention belongs to the technical field of target detection, and in particular relates to a constant false alarm detection method in a rain clutter environment. Background technique [0002] The echo signal received by the radar contains various noises, clutter and interference signals, which affect the detection of the target signal to varying degrees. The traditional constant false alarm detector can adaptively modulate the target decision threshold according to the background noise, clutter and interference of the detected point, which can ensure a high detection probability while ensuring a constant false alarm probability. Typical constant false alarm detectors include CA-CFAR, SO-CFAR, GO-CFAR, clutter map CFAR, etc. [0003] However, the existing CFAR detectors have the following disadvantages: For radars in higher frequency bands, under the background of rain clutter, with the amount of rainfall, the statistical characteristics of the amp...

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Problems solved by technology

[0003] However, the existing CFAR detectors have the following disadvantages: For radars with higher frequency bands, under the background of rain clutter, the statistical characteristics of the amplitude of rain clutter gradually change from Rayleigh distribution to logarithmic positive with the increase of rainfall. State distribution changes (such as figure 1 As shown), the unit average CFAR detector for Gaussian background will no longer be applicable, and the improved unit average CFAR, clutter map CFAR and other methods cannot obtain the best detection threshold according to the amount of rainfall, and cannot guarantee the constant false alarm rate. Eventually lead to an increase in false alarms, seriously affecting radar detection performance

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