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

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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

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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.

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