A phd Filter for Tracking Multiple Extended Targets Using Random Matrices

Abstract

This paper presents a random set based approach to tracking of an unknown number of extended targets, in the presence of clutter measurements and missed detections, where the targets' extensions are modeled as random matrices. For this purpose, the random matrix framework developed recently by Koch is adapted into the extended target phd framework… (More)
DOI: 10.1109/TSP.2012.2212888

Topics

9 Figures and Tables

Statistics

01020302012201320142015201620172018
Citations per Year

107 Citations

Semantic Scholar estimates that this publication has 107 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@article{Granstrm2012APF, title={A phd Filter for Tracking Multiple Extended Targets Using Random Matrices}, author={Karl Granstr{\"{o}m and Umut Orguner}, journal={IEEE Transactions on Signal Processing}, year={2012}, volume={60}, pages={5657-5671} }