An improved CPHD filter for unknown clutter backgrounds

Ronald Mahler; Ba-Tuong Vo

doi:10.1117/12.2050013

20 June 2014 An improved CPHD filter for unknown clutter backgrounds

Ronald Mahler, Ba-Tuong Vo

Proceedings Volume 9091, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII; 90910B (2014) https://doi.org/10.1117/12.2050013
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

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.

Citation Download Citation

Ronald Mahler and Ba-Tuong Vo "An improved CPHD filter for unknown clutter backgrounds", Proc. SPIE 9091, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII, 90910B (20 June 2014); https://doi.org/10.1117/12.2050013

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