基于PTE的多雷达航迹融合算法

doi:10.7527/S1000-6893.2019.22848

ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2019, Vol. 40 ›› Issue (8): 322848-322848.doi: 10.7527/S1000-6893.2019.22848

• Electronics and Electrical Engineering and Control • Previous Articles Next Articles

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

ZHANG Tianyu¹, ZHENG Jian², TIAN Zhuoer³, RONG Yingjiao⁴, GUO Yunfei¹, SHENTU Han¹

1. School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China;
2. No. 28 Institute of CETC, Nanjing 210014, China;
3. College of Electronics and Information Engineering, Sichuan University, Chengdu 610064, China;
4. Science and Technology on Near-surface Detection Laboratory, Wuxi 214035, China

Received:2018-12-12 Revised:2019-02-09 Online:2019-08-15 Published:2019-04-28
Supported by:
National Natural Science Foundation of China (61871166; 61703128);Foundation of Science and Technology on Near-surface Detection Laboratory (614241404030717)

Abstract

Abstract: 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.

Key words: multi-radar, track-to-track fusion, integrated probability data association, probability of target existence, integrated generalized convex combination

CLC Number:

V219
TN953

ZHANG Tianyu, ZHENG Jian, TIAN Zhuoer, RONG Yingjiao, GUO Yunfei, SHENTU Han. Target existence probability based multi-radar track-to-track fusion algorithm[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2019, 40(8): 322848-322848.

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

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