J4 ›› 2013, Vol. 40 ›› Issue (5): 20-25+59.doi: 10.3969/j.issn.1001-2400.2013.05.004

• 研究论文 • 上一篇    下一篇



  1. (西安电子科技大学 雷达信号处理国家重点实验室,陕西 西安  710071)
  • 收稿日期:2012-06-17 出版日期:2013-10-20 发布日期:2013-11-27
  • 通讯作者: 卢锦
  • 作者简介:卢锦(1984-),女,西安电子科技大学博士研究生,E-mail: lj491216@163.com.
  • 基金资助:


Target state estimation of the over-the-horizon radar  using the cost-reference particle filter

LU Jin;SU Hongtao;SHUI Penglang   

  1. (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China)
  • Received:2012-06-17 Online:2013-10-20 Published:2013-11-27
  • Contact: LU Jin



关键词: 天波超视距雷达, 粒子滤波, 状态估计, 风险函数, 代价函数


The cost-reference particle filter (CRPF) is applied for estimating the state sequence of the target in the over-the-horizon radar (OTHR), where the background noise level is high and obeys unknown distribution. On the basis of analyzing the resampling process and the sample impoverishment in the CRPF, it is proposed that the sample impoverishment can be alleviated by normalizing the costs and risks, or increasing the number of particles. And the tracking performance of the CRPF in OTHR target state estimates can be improved. Simulation results illustrate that, compared with the classical particle filters, the CRPF which needs none of the statistics of the signals in the system requires a smaller number of particles and consumes a less computational resource.

Key words: over-the-horizon radar, particle filter, state estimation, risk function, cost function


  • TP302.7