DocumentCode :
3109432
Title :
Passive source localization using power spectral analysis and decision fusion in wireless distributed sensor networks
Author :
Rahman, M. Ziaur ; Karmakar, Gour C. ; Dooley, Laurence S.
Author_Institution :
GSCIT, Monash Univ., Churchill, Vic., Australia
Volume :
2
fYear :
2005
fDate :
4-6 April 2005
Firstpage :
260
Abstract :
Source localization is a challenging issue for multisensor multitarget detection, tracking and estimation problems in wireless distributed sensor networks. In this paper, a novel source localization method, called passive source localization using power spectral analysis and decision fusion in wireless distributed sensor networks is presented. This includes an energy decay model for acoustic signals. The new method is computationally efficient and requires less bandwidth compared with current methods by making localization decisions at individual nodes and performing decision fusion at the manager node. This eliminates the requirement of sophisticated synchronization. A simulation of the proposed method is performed using different numbers of sources and sensor nodes. Simulation results confirmed the improved performance of this method under ideal and noisy conditions.
Keywords :
acoustic signal processing; maximum likelihood estimation; sensor fusion; spectral analysis; target tracking; wireless sensor networks; acoustic signals; decision fusion; energy decay model; multisensor multitarget detection; passive source localization; power spectral analysis; wireless distributed sensor networks; Acoustic sensors; Acoustic signal detection; Bandwidth; Communication system control; Computational modeling; Intelligent networks; Maximum likelihood estimation; Sensor fusion; Spectral analysis; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology: Coding and Computing, 2005. ITCC 2005. International Conference on
Print_ISBN :
0-7695-2315-3
Type :
conf
DOI :
10.1109/ITCC.2005.225
Filename :
1425154
Link To Document :
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