Wideband Radar Target Detection Method Based on Knowledge Aid

Abstract

The invention discloses a target detection method of a broadband radar based on knowledge assistance. The main objective of the invention is to solve a problem of low target detection performance of a broadband radar in an uneven clutter background. The method comprises steps of 1) carrying out the Fourier transform on a time domain target echo signal so as to obtain a frequency domain target echo signal; 2) carrying out N point uniform sampling on each distance unit of the frequency domain target echo signal so as to obtain a discrete object signal; 3) equating a cluster model to a generalized balance non-relevant scattering WSSUS model so as to obtain spatial-time domain and frequency domain coherent parameters; 5) based on the spatial-time domain and frequency domain coherent parameters, obtaining a frequency domain covariance matrix RF and a spatial-time domain covariance matrix RT; 6) according to the RF and the RT, constructing a generalized likelihood ratio target detector; and 7), through the detector, detecting a target signal in the clutter background. According to the invention, a broadband radar target detector is designed by use of environmental prior information, so detection performance in the clutter background is improved and the method can be used for target identification in the uneven clutter background.

Description

technical field [0001] The invention belongs to the technical field of radar and relates to a wide-band radar target detection method, which can be used for target recognition under the background of non-uniform clutter. Background technique [0002] With high range resolution, broadband radar is playing an increasingly important role in the military and civilian fields. At present, there are the following problems in the target detection of broadband radar in the background of clutter: large bandwidth leads to small range units, and in each There are only a few scattering centers in a range unit, at this time the central limit theorem is no longer applicable, and the Gaussian distribution is no longer suitable for wideband radar clutter; the physical size of the target is often larger than the range resolution of the wideband radar, that is, the range extended target or distributed target , in order to make full use of the echo energy, it is necessary to integrate prior inf...

AI Technical Summary

Problems solved by technology

[0002] With high range resolution, broadband radar is playing an increasingly important role in the military and civilian fields. At present, there are the following problems in the target detection of broadband radar in the background of clutter: large bandwidth leads to small range units, and in each There are only a few scattering centers in a range unit, at this time the central limit theorem is no longer applicable, and the Gaussian distribution is no longer suitable for wideband radar clutter; the physical size of the target is often larger than the range resolution of the wideband radar, that is, the range extended target or distributed target , in order to make full use of the echo energy, it is necessary to integrate prior information such as the number, position and amplitude of each scattering center in different distance units; Spatial model is no longer applicable

This method has great limitations. It focuses on the influence of target echoes distributed in different distance units, and ignores the problem of target echoes moving across distance units. During the accumulation detection, energy loss occurs, the accumulation gain is greatly reduced, and the detection performance is greatly affected

Images