Slow moving target elimination method based on point clutter map

Abstract

The invention provides a slow moving target elimination method based on a point clutter map. The method is used for improving tracking precision of oversea low-altitude flight target, and comprises the following implementation steps: calculating a Doppler-distance dimension data matrix Dj on an initial orientation alpha received by a radar in each frame j; calculating a test statistics matrix lambda j of the Doppler-distance dimension data matrix Dj; performing Doppler condensation on the test statistics matrix lambda j; acquiring an initial test result Hj; extracting a slow Doppler channel index j set M'; obtaining the test statistics matrix (represented as a formula in the specification) of a slow Doppler channel; getting rid of the slow moving target in the test statistics matrix (represented as a formula in the specification) of each frame j; and getting rid of the slow moving targets in pulse-distance dimension data in the other orientations, except for the orientation alpha, in all the frames. With the method provided by the invention, performance of eliminating the slow moving target in a low speed channel is improved, and the method can be used for elimination of sea surface slow moving targets uninterested under a radar on sea mode.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and relates to a method for eliminating slow-moving targets, in particular to a method for eliminating slow-moving targets based on point-shaped clutter images, which can be used to improve the tracking accuracy of low-altitude flying targets on the sea. Background technique [0002] Radar is the "clairvoyance" of the modern battlefield, and the detection and tracking of targets of interest in the surveillance scene under specific circumstances is its primary task. For this task, effective radar signal processing algorithms need to be designed. [0003] One of the main purposes of radar signal processing is to resolve the contradiction between the target and the environment. More precisely, it performs some special processing on the mixed echo signal of the target and the environment before the target detection decision, in order to minimize the impact of the environment on the target ...

AI Technical Summary

Problems solved by technology

This method can adaptively match the weight of the MTI filter according to the strength of the clutter echo, which effectively improves the clutter suppression ratio. However, because the moving target shows that the MTI detection algorithm can only suppress the clutter near zero frequency, and Appears powerless against slow-moving targets

If such slow-moving targets are not eliminated, it will have a very large impact on the track establishment and track maintenance of low-altitude flying targets on the sea, resulting in the inability to start the track of low-altitude flying targets and pulling off the track many times, reducing the Tracking accuracy of low-altitude flying targets over the sea

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