Journal of Systems Engineering and Electronics ›› 2013, Vol. 35 ›› Issue (2): 250-255.doi: 10.3969/j.issn.1001-506X.2013.02.03

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Adaptive maneuvering target state estimation algorithm based on ANFIS

XU Yan-ke1,2， LIANG Xiao-geng 1,2， JIA Xiao-hong1
   

  1. 1. China Airborne Missile Academy, Luoyang 471009, China; 
    2. School of Automation, Northwestern Polytechnical University, Xi’an 710072, China
  • Online:2013-02-08 Published:2010-01-03

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Abstract:

In view of the fault that the traditional maneuvering target state estimation algorithm based on current statistics (CS) model is greatly dependent on the statistical characteristic of the system state vector, an adaptive maneuvering target state estimation algorithm is proposed. Firstly, the adaptive neuro-fuzzy inference system (ANFIS) is used to adjust the system noise covariance matrix in target tracking system, after that, the particle filter (PF) algorithm is used to estimate the target state. The simulation results show that the proposed algorithm can obtain good tracking precision.

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