DocumentCode :
597546
Title :
Multiple source localization using randomly distributed wireless sensor nodes
Author :
Sharan, Vatsal ; Kumar, Sudhakar ; Hegde, Rajeshwari
Author_Institution :
Indian Inst. of Technol. Kanpur, Kanpur, India
fYear :
2013
fDate :
7-10 Jan. 2013
Firstpage :
1
Lastpage :
2
Abstract :
In this paper, we present a method to localize multiple sources using randomly distributed wireless sensor nodes. The principle of maximum power collection is used to obtain the beamforming weights which add the source signal constructively at the sensor outputs. The beamforming weights give the time difference of arrival (TDOA) for each of the sources from which the source location is subsequently computed using a hyperbolic estimator. Results show that the method successfully localizes multiple sources in noise.
Keywords :
array signal processing; time-of-arrival estimation; wireless sensor networks; TDOA estimation; beamforming weights; hyperbolic estimator; maximum power collection principle; multiple-source localization; randomly-distributed wireless sensor nodes; source signal; time difference-of-arrival estimation; Array signal processing; Arrays; Correlation; Noise; Position measurement; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems and Networks (COMSNETS), 2013 Fifth International Conference on
Conference_Location :
Bangalore
Print_ISBN :
978-1-4673-5330-4
Electronic_ISBN :
978-1-4673-5329-8
Type :
conf
DOI :
10.1109/COMSNETS.2013.6465589
Filename :
6465589
Link To Document :
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