Background agnostic CPHD tracking of dim targets in heavy clutter
|dc.identifier.citation||El-Fallah, A. and Zatezalo, A. and Mahler, R. and Mehra, R. and Pereira, W. 2013. Background agnostic CPHD tracking of dim targets in heavy clutter.|
Detection and tracking of dim targets in heavy clutter environments is a daunting theoretical and practical problem. Application of the recently developed Background Agnostic Cardinalized Probability Hypothesis Density (BA-CPHD) filter provides a very promising approach that adequately addresses all the complexities and the nonlinear nature of this problem. In this paper, we present analysis, derivation, development, and application of a BA-CPHD implementation for tracking dim ballistic targets in environments with a range of unknown clutter rates, unknown clutter distribution, and unknown target probability of detection. The effectiveness and accuracy of the implemented algorithms are assessed and evaluated. Results that evaluate and also demonstrate the specific merits of the proposed approach are presented. © 2013 SPIE.
|dc.title||Background agnostic CPHD tracking of dim targets in heavy clutter|
|dcterms.source.title||Proceedings of SPIE - The International Society for Optical Engineering|
|dcterms.source.series||Proceedings of SPIE - The International Society for Optical Engineering|
|curtin.department||Department of Electrical and Computer Engineering|
|curtin.accessStatus||Fulltext not available|
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