Volume 43 Issue 6
Jun.  2017
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WANG Cong, WANG Haipeng, HE You, et al. Refined tracking algorithm for steady partly resolvable group targets based on ICP[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(6): 1123-1131. doi: 10.13700/j.bh.1001-5965.2016.0421(in Chinese)
Citation: WANG Cong, WANG Haipeng, HE You, et al. Refined tracking algorithm for steady partly resolvable group targets based on ICP[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(6): 1123-1131. doi: 10.13700/j.bh.1001-5965.2016.0421(in Chinese)

Refined tracking algorithm for steady partly resolvable group targets based on ICP

doi: 10.13700/j.bh.1001-5965.2016.0421
Funds:

National Natural Science Foundation of China 91538201

More Information
  • Corresponding author: WANG Cong, E-mail: congnavy@hotmail.com
  • Received Date: 19 May 2016
  • Accepted Date: 20 Jun 2016
  • Publish Date: 20 Jun 2017
  • To deal with the problem of the refined tracking of steady groups in partly resolvable condition, a refined tracking algorithm based on iterative closest point (ICP) is proposed in this paper. First, the ICP algorithm is used in tracking association, and by using closest point cyclic iteration, the measurements at time k+1 can be matched with the position estimation at time k. In order to deal with the problem of leakage tracks brought by partly resolvable group and to increase the fault tolerant performance in tracking association, double threshold principle is used in decision making. Then, to further ensure the reliability of tracking, probabilistic nearest neighbor method has been used to fill the leakage tracks. Finally, to ensure the precision of tracking, multi-model algorithm is used to realize filter update of group member tracking. The simulation results show that, compared with group target tracking algorithm based on template matching and classical multiple hypothesis tracking algorithm, the algorithm has better performance in tacking reliability and precision, and can be more accurate when slow change of group topology happens.

     

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