Sequential Monte Carlo for maneuvering target tracking in clutter

Neil J. Gordon; Arnaud Doucet

doi:10.1117/12.364045

4 October 1999 Sequential Monte Carlo for maneuvering target tracking in clutter

Neil J. Gordon, Arnaud Doucet

Proceedings Volume 3809, Signal and Data Processing of Small Targets 1999; (1999) https://doi.org/10.1117/12.364045
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

In this paper we consider the problem of tracking a maneuvering target in clutter. We apply an original on-line Monte Carlo filtering algorithm to perform optimal state estimation. Improved performance of the resulting algorithm over standard IMM/PDAF based filters is demonstrated.

Citation Download Citation

Neil J. Gordon and Arnaud Doucet "Sequential Monte Carlo for maneuvering target tracking in clutter", Proc. SPIE 3809, Signal and Data Processing of Small Targets 1999, (4 October 1999); https://doi.org/10.1117/12.364045

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