4 October 1999 Sequential Monte Carlo for maneuvering target tracking in clutter
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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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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