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A hybrid fuzzy adaptive tracking algorithm for maneuvering targets

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2 Author(s)
Abdolreza Dehghani Tafti ; Electrical Engineering Department, Faculty of Engineering, Islamic Azad University, Karaj Branch, Tehran, Iran ; Nasser Sadati

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 filtering (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.

Published in:

Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on

Date of Conference:

1-6 June 2008