Target existence probability based multi-radar track-to-track fusion algorithm

被引：0

作者：

Zhang T. ^{[1
]}

Zheng J. ^{[2
]}

Tian Z. ^{[3
]}

Rong Y. ^{[4
]}

Guo Y. ^{[1
]}

Shentu H. ^{[1
]}

机构：

[1] School of Automation, Hangzhou Dianzi University, Hangzhou

[2] No. 28 Institute of CETC, Nanjing

[3] College of Electronics and Information Engineering, Sichuan University, Chengdu

[4] Science and Technology on Near-surface Detection Laboratory, Wuxi

来源：

Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | 2019年 / 40卷 / 08期

基金：

中国国家自然科学基金;

关键词：

Integrated generalized convex combination; Integrated probability data association; Multi-radar; Probability of target existence; Track-to-track fusion;

D O I：

10.7527/S1000-6893.2019.22848

中图分类号：

学科分类号：

摘要：

When multi-radar track-to-track fusion is in clutter, the cross-covariance of errors of local estimates is unavailable. A target existence probability based track-to-track fusion method is proposed to improve the tracking accuracy. First, based on the integrated probability data association, we can estimate the set of target track estimation and the corresponding probability of the target existence of a single receiver. Then, when the cross-covariance of errors of local estimates is unavailable, based on the PTE information, we propose a generalized convex combination track-to-track fusion algorithm that is without memory. Furthermore, we give feedback to the fusion state of the previous frame, proposing an integrated generalized convex combination track-to-track fusion algorithm with memory. Simulation results demonstrated the effectiveness of the proposed method. © 2019, Press of Chinese Journal of Aeronautics. All right reserved.

引用

共 21 条

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