A method for eliminating slow moving objects based on point clutter map

Abstract

The invention proposes a slow moving target elimination method based on a point clutter map, which is used to improve the tracking accuracy of low-altitude flying targets at sea. The implementation steps are: calculating the starting azimuth α received by the radar in each frame j Doppler‑range dimension data matrix D on j ; Calculate the Doppler-range dimension data matrix D j The test statistic matrix Λ of j ; for the test statistic matrix Λ j Doppler condensation; preliminary test results obtained H j ;Extract the index set M' of the slow Doppler channel; Obtain the test statistic matrix of the slow Doppler channel; Eliminate the slow moving objects in the test statistic matrix of each frame j; Eliminate all frames except the α orientation Slow-moving targets in the pulse-range dimension data in other azimuths. The invention improves the performance of eliminating slow moving targets in the low-speed channel, and can be used for eliminating slow moving targets on the sea surface that are not of interest in the radar sea mode.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and relates to a method for eliminating slow targets, in particular to a method for eliminating slow moving targets based on point clutter maps, which can be used to improve the tracking accuracy of low-altitude flying targets at sea. Background technique [0002] Radar is the "clairvoyance" of modern battlefields, and the detection and tracking of objects of interest in the surveillance scene in a specific environment is its primary task. For this task, an effective radar signal processing algorithm needs 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 influence of the environment on the target detection. Without ...

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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