Radar signal processing method for detecting low, slow and small target under complex clutter background

Abstract

The invention provides a radar signal processing method for detecting a low, slow and small target under a complex clutter background. The method comprises the following steps: performing spectral analysis on a slow time data sequence in each distance unit of a sampled moving target echo pulse sequence to obtain Doppler domain data; carrying out sliding window processing on the Doppler domain dataand acquiring a statistical variance and a statistical mean value in each reference window and a statistical mean value ratio of a front reference window to a rear reference window; judging the uniformity of background clutters in each reference window according to the statistical variance and the statistical mean value; selecting a corresponding constant false alarm detection algorithm accordingto the uniformity of the background clutter to obtain a target trace point in the reference window; and obtaining the speed, pitch, orientation and distance of the target according to the trace pointinformation.

Description

technical field [0001] The invention relates to a radar signal processing technology, in particular to a radar signal processing method for detecting low, slow and small targets under the complex clutter background. Background technique [0002] Low, small and slow targets refer to targets with slow flying speed, low altitude, and small scattering area, mainly including drones, model aircraft, paragliders, satellite cruise missiles, and birds. Small and slow targets have the characteristics of strong concealment and good aggressiveness, so in the detection process, there are problems such as difficulties in reconnaissance, management and control, and strikes. In recent years, with the rapid development of UAV aircraft and the gradual opening of low-altitude airspace control, the incidents of low-slow and small-target violations are increasing. "Black flying" drones that fly without permission in civil aviation airports and major event venues have repeatedly appeared, seriou...

AI Technical Summary

Problems solved by technology

In addition, when the current low-slow and small-target radar detects targets, it faces complex clutter environments, difficult clutter performance analysis, low signal-to-clutter ratio echoes and complex non-uniform backgrounds that make detection difficult, target echoes with low Doppler frequency and Serious clutter and aliasing, detection algorithm and detection performance verification and evaluation are difficult

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