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Proceedings Paper

An improved CPHD filter for unknown clutter backgrounds
Author(s): Ronald Mahler; Ba-Tuong Vo
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Paper Abstract

The “clutter-agnostic” CPHD filter was introduced at the 2010 SPIE Defense, Security and Sensing Symposium in 2010, and has been investigated in subsequent papers. This “κ-CPHD filter” was capable of multitarget detection and tracking in unknown, dynamically changing clutter backgrounds. It was also capable of estimating the entire intensity function of the clutter process. The purpose of this paper is to introduce a generalization of this filter. The generalized κ-CPHD filter has the following two major improvements: (1) a formula for the probability distribution on the number of targets (target cardinality distribution); and (2) a formula for the probability distribution of the number of clutter measurements (clutter cardinality distribution). More generally, the entire probability distribution of the clutter process can be estimated.

Paper Details

Date Published: 20 June 2014
PDF: 12 pages
Proc. SPIE 9091, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII, 90910B (20 June 2014); doi: 10.1117/12.2050013
Show Author Affiliations
Ronald Mahler, Lockheed Martin Corp. (United States)
Ba-Tuong Vo, Curtin Univ. (Australia)


Published in SPIE Proceedings Vol. 9091:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII
Ivan Kadar, Editor(s)

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