Systems Engineering and Electronics ›› 2020, Vol. 42 ›› Issue (2): 374-380.doi: 10.3969/j.issn.1001-506X.2020.02.16

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Deceptive path recognition based on particle filter technology

Zimin CAI(), Rusheng JU(), Xu XIE(), Song WANG()   

  1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
  • Received:2019-06-28 Online:2020-02-01 Published:2020-01-23
  • Supported by:
    国家自然科学基金(61673388)

Abstract:

Deceptive path planning is part of the research content in combat simulation. For deceptive path, the traditional path recognition method has great limitations, and the recognition efficiency is not high. Aiming at the shortcomings in the current path recognition method, this paper introduces the particle filter technology into the deceptive path recognition field. By establishing the system state equation and the observation equation, on the one hand, the interference caused by the observation noise is reduced, and the position information of the object at the current moment is accurately grasped. On the other hand, based on the collected dynamic data, the key parameters in the deceptive model are estimated, so as to judge the moving trend and the real target. Simulation experiments show that the deceptive path recognition method based on the particle filter can improve the recognition efficiency and accurately determine the real attack target of the recognition object.

Key words: deceptive path, particle filter, path recognition

CLC Number: 

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