The problem of tracking ground targets with GMTI sensors has received some attention in the recent past. In addition to standard GMTI sensor measurements, one is interested in using non-standard information such as road maps, and terrain-related visibility conditions to enhance tracker performance. The conventional approach to this problem has been to use the variable structure IMM (VS-IMM), which uses the concept of directional process noise to model motion along particular roads. In this paper, we present a particle filter based approach to this problem which we call variable structure multiple model particle filter (VS-MMPF). Simulation results show that the performance of the VS-MMPF is much superior to that of VS-IMM.


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    Title :

    A variable structure multiple model particle filter for GMTI tracking


    Contributors:
    Arulampalam, M.S. (author) / Gordon, N. (author) / Orton, M. (author) / Ristic, B. (author)


    Publication date :

    2002-01-01


    Size :

    521658 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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