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Proceedings Paper

Particle-filter-based detection schemes
Author(s): Yvo Boers; Hans Driessen; Klaske Grimmerink
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Paper Abstract

The problem of detecting whether or not a signal is present is often encountered. Several detection strategies lead to a likelihood ratio test against a threshold. In a simple setting explicit expressions for the likelihood can be obtained. However when the signal to be detected is generated by a nonlinear, non-Gaussian dynamical system it is in general impossible to obtain an expression for the probability of the signal under the hypothesis that it is present. Recently, so called particle filters have been proposed to solve nonlinear, non-Gaussian filtering problems. In this paper we show that the filtering solution obtained by a particle filter can be used to construct the likelihood ratio, needed to perform the likelihood ratio test for detection. Here we will show that different detection schemes can be used. These schemes have in common that they use the output of a particle filter for the purpose of detecting the possible presence of a target. Furthermore we will go into aspects that are of importance when actually building such a particle filter based detector.

Paper Details

Date Published: 7 August 2002
PDF: 10 pages
Proc. SPIE 4728, Signal and Data Processing of Small Targets 2002, (7 August 2002); doi: 10.1117/12.478498
Show Author Affiliations
Yvo Boers, THALES Nederland B.V. (Netherlands)
Hans Driessen, THALES Nederland B.V. (Netherlands)
Klaske Grimmerink, Univ. of Twente (Netherlands)

Published in SPIE Proceedings Vol. 4728:
Signal and Data Processing of Small Targets 2002
Oliver E. Drummond, Editor(s)

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