Conference Proceedings

Measurement gaussian sum mixture target tracking

Darko Musicki, Robin J Evans

2006 9TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4 | IEEE | Published : 2006

Abstract

In this paper target tracking using measurements whose probability density function can be described (approximated) by a Gaussian Sum Mixture is described. The approach is illustrated for two classes of these measurements. One class is the measurements obtained by acoustic amplitude / time difference of arrival measurements typically obtained using motes. The other is measurements obtained by radar with large angular measurement errors. Such measurements in a Cartesian system cannot be accurately modelled by a single Gaussian pdf. By following a Bayessian approach and the target existence paradigm, two target tracking filters have been derived. A variant of IPDA - the single scan target trac..

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Grants

Awarded by Defense Advanced Research Projects Agency of the US Department of Defense


Funding Acknowledgements

This work was supported in part by the Defense Advanced Research Projects Agency of the US Department of Defense and was monitored by the Office of Naval Research under Contract No. N00014-04-C-0437, and supported by National ICT Aus-tralia (NICTA)