DocumentCode :
455376
Title :
A Monte-Carlo Method for Initializing Distributed Tracking Algorithms
Author :
Borkar, Milind ; Cevher, Volkan ; McClellan, James H.
Author_Institution :
Georgia Inst. of Technol., Atlanta, GA
Volume :
4
fYear :
2006
fDate :
14-19 May 2006
Abstract :
Distributed processing algorithms are attractive alternatives to centralized algorithms for target tracking applications in sensor networks. In this paper, we determine an initial probability distribution of multiple target states in a distributed manner to initialize distributed trackers. Our approach is based on Monte-Carlo methods, where the state distributions are represented as a weighted set of discrete state realizations. The filter state vector consists of the target positions and velocities on the 2D plane. Our approach can determine the state vector distribution even if the individual sensors alone are not capable of observing it. The only condition is that the network as a whole be able to observe the state vector. A robust weighting strategy is formulated to account for missed detections and clutter. To demonstrate the effectiveness of the algorithm, we simulate a network with direction-of-arrival nodes and range-Doppler nodes
Keywords :
Monte Carlo methods; direction-of-arrival estimation; distributed sensors; statistical distributions; target tracking; Monte-Carlo method; direction-of-arrival nodes; discrete state realizations; distributed processing algorithms; distributed tracking algorithms; filter state vector; multiple target states; probability distribution; range-Doppler nodes; sensor networks; state vector distribution; target tracking applications; weighting strategy; Acoustic sensors; Bandwidth; Collaboration; Distributed processing; Intelligent sensors; Radar tracking; Robustness; Sensor arrays; State-space methods; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
ISSN :
1520-6149
Print_ISBN :
1-4244-0469-X
Type :
conf
DOI :
10.1109/ICASSP.2006.1661118
Filename :
1661118
Link To Document :
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