航空学报 > 2019, Vol. 40 Issue (8): 322848-322848   doi: 10.7527/S1000-6893.2019.22848

基于PTE的多雷达航迹融合算法

张天宇1, 郑坚2, 田卓尔3, 荣英佼4, 郭云飞1, 申屠晗1   

  1. 1. 杭州电子科技大学 自动化学院, 杭州 310018;
    2. 中国电子科技集团公司 第二十八研究所, 南京 210014;
    3. 四川大学 电子信息学院, 成都 610064;
    4. 近地面探测技术重点实验室, 无锡 214035
  • 收稿日期:2018-12-12 修回日期:2019-02-09 出版日期:2019-08-15 发布日期:2019-04-28
  • 通讯作者: 荣英佼 E-mail:yingjiao_rong@hotmail.com
  • 基金资助:
    国家自然科学基金(61871166;61703128);近地面探测技术重点实验室基金(614241404030717)

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)

摘要: 针对杂波背景下的多雷达航迹融合时局部估计误差互协方差矩阵未知的问题,提出基于目标存在概率(PTE)的航迹融合算法,提升了正确航迹率和跟踪精度。首先,通过综合概率数据关联得到单接收站的目标航迹估计集合和对应的目标存在概率。然后,在局部估计误差互协方差矩阵未知的条件下,基于PTE信息提出不带记忆的综合广义凸组合航迹融合算法。进而将前一帧的融合状态进行反馈,提出带记忆的综合广义凸组合航迹融合算法。仿真验证了所提算法的有效性。

关键词: 多雷达, 航迹融合, 综合概率数据关联, 目标存在概率, 综合广义凸组合

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

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