Track correlation method of micro-moving target scattering points based on range-instantaneous Doppler image

Abstract

The invention discloses a micro-motion target scattering point track association method based on a distance-instant Doppler image. The method comprises the following steps of (1) receiving an inverse synthetic aperture radar echo; (2) carrying out inverse synthetic aperture radar echo pretreatment; (3) through the distance-instant Doppler image, acquiring a two-dimension coordinate of a micro-motion target scattering point; (4) carrying out two-dimension track association; (5) using a rooting multiple signal classification Root-MUSIC method to correct a track matrix; (6) acquiring a track association result of the micro-motion target scattering point. A domain associated to the scattering point is converted into a slow time-distance-instant Doppler domain with a high separability from a distance-slow time domain; separability of the micro-motion target scattering point is enhanced; for complex motion forms of spinning, processional motion, nutation and the like, advantages that universality is possessed, track association precision is high, an association error is small and so on are achieved; forceful guarantee can be provided for subsequent high-resolution imaging and target feature extraction.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and further relates to a range-instantaneous Doppler image-based scatter point track association method of a micro-moving target in the field of micro-moving target imaging and feature extraction. The present invention can accurately estimate the trajectory of ballistic targets, space debris and other micro-moving target scattering points in the range-slow time domain, and can accurately estimate ballistic targets and space debris scattering points under complex micro-movement forms such as spin, precession, and nutation. The track correlation accuracy is high and the correlation error is small, which can provide a strong guarantee for subsequent high-resolution imaging of micro-moving targets and feature extraction of micro-moving targets. Background technique [0002] When broadband radar is used for high-resolution observation of micro-moving targets, the high-resolution one-dimensio...

AI Technical Summary

Problems solved by technology

This method overcomes the shortcomings of the two-dimensional scattering center track correlation method based on the Kalman filter and the nearest neighbor criterion, and the correlation effect is poor near the track intersection; it makes up for the high algorithm complexity of the scatter point correlation method based on random sampling consistency lack of

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