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27 April 2010 PHD filtering in known target-dependent clutter
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Abstract
This paper generalizes the PHD filter to the case of target-dependent clutter. It is assumed that a distinct a priori Poisson clutter process is associated with each target. Multitarget calculus techniques are used to derive formulas for the measurement-update step. These formulas require combinatorial sums over all partitions of the current measurement-set. Further research is required to address the resulting computational issues.
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Ronald Mahler and Adel El-Fallah "PHD filtering in known target-dependent clutter", Proc. SPIE 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX, 76970E (27 April 2010); https://doi.org/10.1117/12.849465
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