4 October 1999 Sequential Monte Carlo for maneuvering target tracking in clutter
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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.
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Neil J. Gordon, Neil J. Gordon, Arnaud Doucet, 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); doi: 10.1117/12.364045; https://doi.org/10.1117/12.364045
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