Journal of Systems Engineering and Electronics ›› 2011, Vol. 33 ›› Issue (1): 1-0007.doi: 10.3969/j.issn.1001 506X.2011.01.01

• 电子技术 •    下一篇

基于IMM-CSRF的多平台机动目标被动跟踪方法

刘梅1,陈锦海1,高扬2,王骏2,林超1,张声杰1   

  1. 1. 哈尔滨工业大学电子与信息工程学院, 黑龙江 哈尔滨 150001;
    2. 中国电子科技集团公司第二十九研究所, 四川 成都 610036
  • 出版日期:2011-01-20 发布日期:2010-01-03

Multi-platform bearings-only passive tracking of maneuvering targets based on IMM-CSRF

LIU Mei1,CHEN Jin-hai1,GAO Yang2,WANG Jun2,LIN Chao1,ZHANG Sheng-jie1   

  1. 1. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China; 
    2. No. 29 Institute, China Electronics Technology Group Corporation, Chengdu 610036, China
  • Online:2011-01-20 Published:2010-01-03

摘要:

针对仅有角度测量信息条件下,单平台的机动目标被动跟踪存在固有的强非线性和弱可观测性问题,研究多平台融合机动目标被动跟踪技术,提出了集中式漂移瑞利滤波器(centralized shifted Rayleigh filter,CSRF)来解决多平台目标被动跟踪问题,进一步提出并推导了基于交互式多模型的集中式漂移瑞利滤波器(interacting multiple model centralized shifted Rayleigh filter,IMM CSRF),实现对机动目标的被动跟踪。仿真实验表明,该算法跟踪精度高,稳定性好,具有良好的实际应用价值。

Abstract:

To overcome the strongly nonlinear and weak observable problems existing in singleplatform bearingsonly maneuvering target tracking, the multi-platform bearings only maneuvering target tracking algorithms are studied in this paper. A centralized shifted Rayleigh filter (CSRF) is proposed to apply to multi-platform bearings-only target tracking; further an interacting multiple model centralized shifted Rayleigh filter (IMMCSRF) is proposed and derived to track a maneuvering target. The simulation results show that this method has a high tracking accuracy and good stability and has very powerful practical application value.