DocumentCode :
77399
Title :
Consensus CPHD Filter for Distributed Multitarget Tracking
Author :
Battistelli, Giorgio ; Chisci, L. ; Fantacci, C. ; Farina, A. ; Graziano, A.
Author_Institution :
Dipt. di Ing. dell´Inf., Univ. di Firenze, Florence, Italy
Volume :
7
Issue :
3
fYear :
2013
fDate :
Jun-13
Firstpage :
508
Lastpage :
520
Abstract :
The paper addresses distributed multitarget tracking over a network of heterogeneous and geographically dispersed nodes with sensing, communication and processing capabilities. The contribution has been to develop a novel consensus Gaussian Mixture-Cardinalized Probability Hypothesis Density (GM-CPHD) filter that provides a fully distributed, scalable and computationally efficient solution to the problem. The effectiveness of the proposed approach is demonstrated via simulation experiments on realistic scenarios.
Keywords :
Gaussian processes; filtering theory; military systems; probability; target tracking; wireless sensor networks; civilian surveillance application; communication capabilities; consensus CPHD filter; consensus Gaussian mixture-cardinalized probability hypothesis density filter; distributed multitarget tracking; geographic dispersed nodes; heterogeneous dispersed nodes; military surveillance application; processing capabilities; sensing capabilities; sensor networks; wireless sensor technology; Bayes methods; Clutter; Sensors; Target tracking; Time measurement; Cardinalized PHD filter; consensus; multitarget tracking; sensor networks;
fLanguage :
English
Journal_Title :
Selected Topics in Signal Processing, IEEE Journal of
Publisher :
ieee
ISSN :
1932-4553
Type :
jour
DOI :
10.1109/JSTSP.2013.2250911
Filename :
6472731
Link To Document :
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