New distributed multi-sensor multi-target tracking algorithm

被引：0

作者：

Zhou, Li ^{[1
]}

Duan, Yuanyuan ^{[1
]}

Zhang, Xuejiao ^{[1
]}

Zhang, Lijing ^{[1
]}

机构：

[1] School of Information & Electrical Engineering, Ludong University, Yantai

来源：

Journal of Computational Information Systems | 2015年 / 11卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Distribution; Multi-target tracking; Point-track correlation; The optimal assignment algorithm;

D O I：

10.12733/jcis13051

中图分类号：

学科分类号：

摘要：

For the optimal assignment algorithm and joint probabilistic data association algorithm of distributed multi-target tracking (D-OA, D-JPDA) are respectively applicable to different detection conditions, a new joint probabilistic data association algorithm based on the optimal assignment (D-OA-JPDA) algorithm which applied widely is proposed. A number of good solutions formed by the optimal assignment problem of single sensor point-track correlation are used in the new algorithm to determine the number of measurement and clutter which have entered the target gate, and then the joint probabilistic data association algorithm is used to calculate target state. Theoretical analysis and simulation experiment results show that, not only the advantage of strong anti-jamming capability of the joint probabilistic data association algorithm is inherited, but also the problems that the insufficient of easily to get error correlations for the pure point-track optimal assignment algorithm when the detection condition is poor, and the defect of easily to appear track offset for the pure joint probabilistic data association algorithm when the detection condition is not bad are avoided. It is a new distributed multi-target tracking algorithm, which is achieved conveniently and applied extensively. 1553-9105/Copyright © 2015 Binary Information Press

引用

页码：621 / 628

页数：7

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