Journal of Systems Engineering and Electronics ›› 2011, Vol. 33 ›› Issue (9): 1921-1926.doi: 10.3969/j.issn.1001-506X.2011.09.02

• 电子技术 • 上一篇    下一篇

基于两级采样的粒子滤波检测前跟踪算法

梁新华, 潘泉, 杨峰, 王增福   

  1. 西北工业大学自动化学院, 陕西 西安 710072
  • 出版日期:2011-09-17 发布日期:2010-01-03

Particle filter trackbeforedetect algorithm based on twohierarchy sampling

LIANG Xinhua, PAN Quan, YANG Feng, WANG Zengfu   

  1. College of Automation, Northwestern Polytechnical University, Xi’an 710072, China
  • Online:2011-09-17 Published:2010-01-03

摘要:

针对粒子滤波检测前跟踪算法中高维状态采样效率低的问题,提出了一种基于两级采样的粒子滤波检测前跟踪算法。根据状态向量中各分量对量测有无直接影响,把粒子的高维状态采样转换为两个序列低维采样,提高了粒子采样效率,进而可获得更高的检测概率和估计精度。仿真结果验证了算法的有效性。

Abstract:

A particle filter trackbeforedetect (TBD) algorithm based on twohierarchy sampling is proposed to deal with low sampling efficiency in highdimension state space. According to each component's impacting on measurement directly or not, the higherdimension state sampling process is converted to two successive lowerdimension state sampling processes. This algorithm improves the efficiency of state sampling for particles, and a better detection and tracking performance is obtained. Simulation results show the effectiveness of the proposed algorithm.