Robust GM-PHD Filter with Adaptive Target Birth

Ma, L, Wang, P, Xue, K and Kim, D 2015, 'Robust GM-PHD Filter with Adaptive Target Birth', The 2014 International Conference on Control, Automation and Information Sciences , vol. 15, no. 10, pp. 19-23.

Document type: Journal Article
Collection: Journal Articles

Title Robust GM-PHD Filter with Adaptive Target Birth
Author(s) Ma, L
Wang, P
Xue, K
Kim, D
Year 2015
Journal name The 2014 International Conference on Control, Automation and Information Sciences 
Volume number 15
Issue number 10
Start page 19
End page 23
Total pages 5
Publisher Institute of Electrical and Electronics Engineers
Abstract Due to electromagnetic silence, passive tracking systems for emitter targets usually produce track segments (i.e., tracklets) rather than an entire trajectory of the target. Therefore, a multistage method for emitter target tracking is proposed in this paper. In the stage of tracklet generation, the Gaussian mixture-probability hypothesis density tracker with adaptive estimation of target birth intensity is applied to generate reliable tracklets of the emitter targets. After that, in the stage of tracklet association, the multipoint motion information and emitter signal information are integrated to compute the similarities between the tracklets. The affinity propagation algorithm, which does not impose the constraint of one-to-one correspondence, is then used to cluster the tracklets. In the stage of association refining, the clustering result is adjusted to refine the final trajectories according to the spatial-temporal constraint of the tracklets. The simulation results show that the proposed method is robust and performs well.
Subject Signal Processing
Keyword(s) Tracklet association
Affinity propagation
GM-PHD filter
Emitter target tracking.
DOI - identifier 10.1109/ICCAIS.2014.7020556
Copyright notice ©2014 IEEE
ISSN 1558-1748
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