Ground moving target indicator (GMTI) tracking is often carried out using extended Kalman filters, as in the variable-structure interacting multiple-model (VS-IMM) filter. In some scenarios, however, this is considered to be inadequate. It has been shown that in this case, a particle filter can give better performance. Such a filter, the variable-structure multiple-model particle filter (VS-MMPF), is given in the literature. In this paper we present a new approach to solving the GMTI tracking problem using a particle filter. We have developed an unscented particle filter, where the particles model the uncertainty over the motion model while, conditional upon the model, the target state is modelled using an unscented Kalman filter. Simulation results show that the UPF-based filter gives performance similar to the VS-MMPF with significantly fewer particles and better results than the standard VS-IMM approach.


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    Title :

    An unscented particle filter for GMTI tracking


    Contributors:
    Payne, O. (author) / Marrs, A. (author)


    Publication date :

    2004-01-01


    Size :

    437655 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    6.0301 An Unscented Particle Filter for GMTI Tracking

    IEEE | British Library Conference Proceedings | 2004


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    Arulampalam, M. S. / Gordon, N. J. / Orton, M. et al. | British Library Conference Proceedings | 2002


    A variable structure multiple model particle filter for GMTI tracking

    Arulampalam, M.S. / Gordon, N. / Orton, M. et al. | IEEE | 2002