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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. 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: 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: