International Journal of Control, Automation, and Systems

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Design of Adaptive Fuzzy IMM Algorithm for Tracking the Maneuvering Target with Time-varying Measurement Noise

  • Kim, Hyun-Sik (Department of Robot System Engineering, Tongmyong University) ;
  • Kim, In-Ho (Department of Robot System Engineering, Tongmyong University)
  • Published : 2007.06.30
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Abstract

In real system application, the interacting multiple model (IMM) based algorithm operates with the following problems: it requires less computing resources as well as a good performance with respect to the various target maneuvering, it requires a robust performance with respect to the time-varying measurement noise, and further, it requires an easy design procedure in terms of its structures and parameters. To solve these problems, an adaptive fuzzy interacting multiple model (AFIMM) algorithm, which is based on the basis sub-models defined by considering the maneuvering property and the time-varying mode transition probabilities designed by using the mode probabilities as the inputs of the fuzzy decision maker whose widths are adjusted, is proposed. To verify the performance of the proposed algorithm, a radar target tracking is performed. Simulation results show that the proposed AFIMM algorithm solves all problems in the real system application of the IMM based algorithm.

Keywords

References

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