期刊文献+

基于两点外推法的跟踪滤波器启始方法研究 被引量:2

A Study of Tracking Filter Initiation Algorithm Based on 2-Step Estimation
下载PDF
导出
摘要 对于多目标跟踪系统,滤波器的起始波门的设计是一个关键问题。首先给出了利用量测标准差与采样周期比值的相对大小来确定滤波器启始的方法,然后利用目标速度极限的先验信息构造环状波门,并考虑量测噪声对环状波门的影响,利用矩阵范数特性,导出一种更精细的基于两点外推的滤波器启始法。仿真结果表明利用本文方法构造出的波门的置信区间比其他两种方法所构作出的更为合理。 The design of initial gate is a crucial problem in multi-target track system. The ratio of measurement noises standard deviations to sample period is considered for choosing the method of filter initial in target tracking problems. Then the prior knowledge of velocity is used for constructing a ring gate of filter. Considering measurement noise for the ring gate, and the character of matrix norm, a new tracking filter initial algorithm based on 2-step estimation was developed. The algorithm is illustrated via Monte Carlo simulation where a more reliable confidence interval of gate is achieved over two other algorithms.
出处 《系统仿真学报》 CAS CSCD 2002年第7期849-851,共3页 Journal of System Simulation
基金 教育部"跨世纪优秀人才培养计划"基金(教技函[2000]1号) 国家自然科学基金(60172037)资助。
关键词 两点外推法 启始方法 目标跟踪 KALMAN滤波器 target tracking Kalman filtering tracking initiation
  • 相关文献

参考文献2

  • 1潘泉.自适应目标跟踪算法研究,西北工业大学博士论文[M].,1997..
  • 2刘刚.机动目标跟踪自适应建模与数据关联算法研究,西北工业大学硕士论文[M].,1998..

同被引文献28

  • 1D J Torrieri. Statistical Theory of Passive Location Systems [J]. IEEE Transaction onAES (S0018-9251), 1984, 20(2): 183-198.
  • 2K F Gong, A G Lindgren, S C Nardone. Passive localization and motion analysis with a state parameter constraint [C]//15th Asilomar Conf. Circuits, Syst., and Comput., 1981: 366-374.
  • 3S C Nardone, A G Lindgren, K F Gong. Fundamental Properties and Performance of Conventional Bearing-Only Target Motion Analysis [J]. IEEE on Automatic Control (S0018-9286), 1984, 29(9): 775-787.
  • 4G A Watson, W D Blair, IMM algorithm for tracking targets that maneuver through coordinated turns [C]// Signal and Data Processing of Small Targets, SPIE, 1992: 236-247.
  • 5Y Bar-Shalom, X R Li. Estimation and Tracking: Principle, Techniques, and Software [M], Boston: Artech House, 1993: 253-335.
  • 6袁天鑫.最佳估计原理[M].北京:国防工业出版社,1982:131-180.
  • 7杨小军,邢科义,施坤林,潘泉.传感器网络下机动目标动态协同跟踪算法[J].自动化学报,2007,33(10):1029-1035. 被引量:15
  • 8W. Ren, R. W. Beard, E. M. Atkins. Infor- mation consensus in muhivehicle cooperative control[ J]. IEEE Control Systems, 2007, 27 (2) : 71 -82.
  • 9R. Olfati-Saber, J. A. Fax, R. M. Murray. Consensus and Cooperation in Networked Multi - Agent Systems[ J]. Proceedings of the IEEE, 2007, 95 (1): 215-233.
  • 10R. Olfati- Saber, R. M. Murray. Consensus Problems in Networks of Agents With Switching Topology and Time- Delays[ J]. IEEE Transac- tions on Automatic Control, 2004, 49 (9): 1520 - 1533.

引证文献2

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部