Paper
27 April 2010 PHD filtering in known target-dependent clutter
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Sensors

Motion models

Mathematical modeling

Radar

Calculus

Statistical modeling

Detection and tracking algorithms

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