A spatial-domain multiresolutional particle filter with thresholded wavelets

Authors:
Lang Hong;Devert Wicker
Affiliations:
Department of Electrical Engineering, Wright State University, Dayton, OH 45435, USA;Target Recognition Branch, Air Force Research Laboratory, SNAT, WPAFB, OH 45433, USA
Venue:
Signal Processing
Year:
2007

Citing 1
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Abstract

Particle filters have been proven to be very effective for nonlinear/non-Gaussian filtering. However, the most notorious disadvantage of a particle filter is its formidable computational complexity, since hundreds (even thousands) of particles are usually needed to achieve a required approximation accuracy. It has also been proven that one of the techniques of truly solving a computational problem is multiresolutional processing, both in temporal and spatial domains. Therefore, in this paper we propose a multiresolutional particle filter in the spatial domain using thresholded wavelets to reduce significantly the number of particles, meanwhile maintaining the full strength of a particle filter.