A Distributed Asynchronous Iterative Filter Fusion Method Based on Tracking Before Detection

A technology of asynchronous iteration and fusion method, which is applied in the field of radar data processing and radar weak target tracking, and can solve the problems that tracking methods cannot perform distributed fusion

Active Publication Date: 2020-05-12
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] The purpose of the present invention is to provide a distributed asynchronous iterative filter fusion method based on DP-TBD in order to improve the estimation accuracy of the target state in view of the technical problem that the multi-frame detection tracking method cannot perform distributed fusion Purpose

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  • A Distributed Asynchronous Iterative Filter Fusion Method Based on Tracking Before Detection

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[0088] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the implementation methods and accompanying drawings.

[0089] The present invention mainly adopts the method of computer simulation to verify, and all steps and conclusions are verified correctly on MATLAB-2013. The specific implementation steps are as follows:

[0090] Step S1, initialize system parameters:

[0091] Initialization variables include: total simulation time F=20; number of tracking processing frames before one detection N=6; target signal-to-noise ratio SNR=8dB; threshold of tracking processing before detection V T =13.7329; elliptical wave gate threshold γ=16; track correlation threshold 5, radar 1 period 2s, radar 2 period 3s, radar start-up time 1s, tracking processing before multi-frame detection 1st, 2nd,... , the detection probabilities of N frames are 0.806, 0.892, 0...

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Abstract

The invention discloses a tracking-before-detection-based distributed asynchronous iterative filtering fusion method, which belongs to the technical field of radar data processing. The invention combines the DP-TBD algorithm with iterative filtering and distributed asynchronous fusion algorithms, and improves the detection performance of the DP-TBD algorithm for weak targets through the fusion of the iterative filter and the measurement data of multiple radars. In addition, multiple radars often have different start-up times and scanning periods, that is, the data of multiple radars is asynchronous, and the present invention also realizes the asynchronous fusion of multiple radar data. The implementation of the present invention effectively solves the technical problem that the pre-detection tracking dynamic programming algorithm cannot be used for cooperative detection and information fusion during the cooperative detection of multiple asynchronous radars in practical applications, and can effectively improve the tracking effect on weak targets.

Description

technical field [0001] The invention belongs to the technical field of radar data processing, and in particular relates to the technical field of radar weak target tracking and multi-radar cooperative detection. Background technique [0002] The reduction of target flying altitude and the increasing maturity of target stealth technology have challenged the detection performance of traditional radars. Improving the detection and tracking performance of radar for faint targets has become an extremely important issue, and has attracted more and more attention. [0003] Multi-frame Tracking Before Detect (TBD) technology is a technology to detect and track weak targets in low signal-to-noise ratio environment. This technology uses multi-frame information to detect targets at the same time, which improves the detection effect of weak targets. Different from traditional detection methods, pre-detection tracking does not announce the detection results in a single frame, but after ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/66G01S13/58G01S7/41
Inventor 易伟李洋漾孙伟黎明孙智李雯陈璐孔令讲
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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