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A hybrid fuzzy adaptive tracking algorithm for maneuvering targets

Dehghani Tafti, A ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/FUZZY.2008.4630624
  3. Publisher: 2008
  4. Abstract:
  5. A new hybrid fuzzy adaptive algorithm for tracking maneuvering targets is proposed in this paper. The algorithm is implemented with fuzzy inference system (FIS) and current statistical model and adaptive Altering (CSMAF). The CSMAF algorithm is one of most effective methods for tracking the maneuvering targets. It has a higher precision in tracking the maneuvering targets with larger accelerations while it has a lower precision in tracking the maneuvering targets with smaller acceleration. In the proposed algorithm, to overcome the disadvantage of the CSMAF algorithm, the covariance of process noise CSMAF is adjusted adaptively by the output of a FIS. The input of the FIS is discrepancy of the covariance process noise from its actual value, where the actual value can be obtained based on filter innovation properties. Simulation results show that in spite of having simple structure for the proposed algorithm, it can also improve the precision of the CSMAF algorithm in a wide range of target maneuvers significantly. © 2008 IEEE
  6. Keywords:
  7. Algorithms ; Fuzzy inference ; Fuzzy logic ; Fuzzy systems ; Inference engines ; Targets ; Current statistical models ; Fuzzy Inference systems ; Higher precisions ; Hybrid fuzzy ; Lower precisions ; Maneuvering targets ; Process noises ; Simple structures ; Simulation results ; Target maneuvers ; Tracking maneuvering targets ; Adaptive algorithms
  8. Source: 2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008, Hong Kong, 1 June 2008 through 6 June 2008 ; 2008 , Pages 1869-1873 ; 10987584 (ISSN) ; 9781424418190 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4630624