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基于幅度信息的海上多目标稳健跟踪方法
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  • 英文篇名:Amplitude information based robust tracking method for multiple marine targets
  • 作者:柳超 ; 张志国 ; 孙进平
  • 英文作者:LIU Chao;ZHANG Zhiguo;SUN Jinping;School of Electronic and Information Engineering, Beihang University;PLA 92853 Unit;
  • 关键词:多目标跟踪 ; 幅度信息 ; 稳健跟踪 ; 海杂波
  • 英文关键词:multi-target tracking;;amplitude information;;robust tracking;;sea clutter
  • 中文刊名:TXXB
  • 英文刊名:Journal on Communications
  • 机构:北京航空航天大学电子信息工程学院;海军92853部队;
  • 出版日期:2019-02-25
  • 出版单位:通信学报
  • 年:2019
  • 期:v.40;No.382
  • 基金:国家自然科学基金资助项目(No.61471019,No.U1633122)~~
  • 语种:中文;
  • 页:TXXB201902008
  • 页数:10
  • CN:02
  • ISSN:11-2102/TN
  • 分类号:64-73
摘要
提出了一种基于海杂波中目标幅度信息的稳健多伯努利滤波器,利用海杂波和目标的幅度信息改进量测似然,当目标与杂波相距较近时,能够更好地区分目标和杂波,提升对海探测环境下雷达的多目标跟踪性能。通过在K分布海杂波环境下对SwerlingⅠ型起伏目标的跟踪实验,证明了所提方法具有比稳健多伯努利滤波器更优的多目标势估计、状态估计和杂波率估计性能。
        A robust multi-Bernoulli filter based on the amplitude information of the target in sea clutter was proposed, inwhich the amplitude information of the target and sea clutter was exploited to improve the measurement likelihood.Therefore, the proposed approach could distinguish targets from clutter better when they were spatially close, which fur-ther enhanced the ability to track targets in marine radar detection applications. The simulation results of Swerling type Ⅰfluctuating targets tracking in K distributed sea clutter show that, the proposed algorithm is superior in performance to therobust multi-Bernoulli filter in terms of state estimation, cardinality estimation, as well as clutter rate estimation.
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