Dual-band radar adaptive tracking method based on multi-dimensional feature matching

Abstract

The invention discloses a dual-band radar adaptive tracking method based on multi-dimensional feature matching, and belongs to the technical field of radar data processing. According to the method, the multi-dimensional feature matching degree of the dual-band radar data is judged, the problem that dual-band radar target tracking is unstable in a complex clutter interference environment is solved, and the method mainly comprises the processes of multi-dimensional feature matching, matching degree calculation, judgment and the like. The multi-dimensional feature matching comprises the processes of static trace point quality evaluation, dynamic trace point quality evaluation, environment perception and the like. The method comprises the following steps: firstly, calculating plot space saturation according to multiple features of plot echoes to obtain static plot quality; then, calculating an association probability between a trace point and a track to obtain dynamic trace point quality, and processing a trace point quality evaluation result and an abnormal clutter area environment perception result to obtain a current wave band matching degree; and finally, judging the dual-band plot matching degree, preferentially updating the tracking process, and improving the track stability and the anti-interference performance.

Description

technical field [0001] The invention belongs to the field of radar target data processing. Background technique [0002] With the development of military science and technology, for higher data rates and more flexible beam scheduling, multi-array radars are becoming more and more common. Among them, double-array radars use carrier frequencies of different bands for good anti-jamming performance. For this kind of dual-band radar, the dual-band data is used to update the tracking process in the previous tracking algorithm in order to increase the data rate. However, in the interference environment, the deterioration of single-band data often leads to a sharp decline in the overall tracking effect. Existing literature research mainly focuses on single-band radar and multi-source sensor fusion, and there are gaps in the research on data processing and tracking algorithms suitable for dual-band single radar. [0003] Patent CN201410401795 discloses a target tracking method base...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problem of unstable dual-band radar target tracking in complex clutter interference environments, the present invention proposes a dual-band radar adaptive tracking method based on multi-dimensional feature matching, which judges the multi-dimensional feature matching degree of dual-band radar data, mainly including Multi-dimensional feature matching, matching degree calculation and judgment process, in which the multi-dimensional feature matching uses static trace quality and dynamic trace quality features to calculate the matching degree, and performs fusion processing with the environmental perception results in the clutter area to judge the matching degree of the dual-band data , to implement the adaptive tracking process

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