Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (3): 541-544.

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Maneuvering target tracking based on fuzzy reasoning

HAN Hong, CHEN Zhao-ping, JIAO Li-cheng, ZHI Jian-wei   

  1. Key Lab. of Intelligent Perception and Image Understanding of Ministry of Education of China, Inst. of Intelligent Information Processing, Xidian Univ., Xi’an 710071, China
  • Received:2008-01-07 Revised:2008-03-25 Online:2009-03-20 Published:2010-01-03

Abstract: The performance of the "current" statistical model algorithm gets worse when there is a sudden maneuver.To solve this problem,an improved algorithm is presented.This algorithm is implemented through a pair of parallel adaptive filters together with information fusion technique.By introducing the state information of targets,the output of the fuzzy system can adjust the predicted covariance of the filter adaptively.The simulation results show that the proposed algorithm has better performance when there is a sudden maneuver.

CLC Number: 

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