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An improved CPHD filter for unknown clutter backgrounds

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Authors
Mahler, R.
Vo, Ba Tuong
Date
2014
Type
Conference Paper

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Mahler, R. and Vo, B.T. 2014. An improved CPHD filter for unknown clutter backgrounds, in Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII, May 5 2014. Baltimore, MD, United States: International Society for Optical Engineering (SPIE).
Source Title
Proceedings of SPIE - The International Society for Optical Engineering
Source Conference
Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII
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Department of Electrical and Computer Engineering
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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 “k-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 k-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.