NDLI: Energy-based sensor network multiple-source localization via a new EM algorithm

Content Provider	IEEE Xplore Digital Library
Author	Wendong Xiao Wei Meng Chengdong Wu Zixi Jia Das, S.K.
Copyright Year	2008
Description	Author affiliation: Inst. for Infocomm Res., Singapore (Wendong Xiao)
Abstract	A new efficient expectation-maximization (EM) algorithm for ML estimation is presented for multiple sources localization using a wireless sensor network (WSN). It uses acoustic signal energy measurements taken at individual sensors to estimate the locations of multiple acoustic sources. Instead of already existent multi-resolution (MR) search of projection solution and existing EM algorithms for ML estimation, the basic idea of our method is to decompose the observed sensor data (signal energy), which is a superimposition of multiple sources, into individual components and then estimate the corresponding location parameters separately. Our proposed EM algorithm involves two steps, namely expectation (E-step) and maximization (M-step). In the E-step, signal energy of sensors received from individual source is estimated. Then, in the M-step, the maximum likelihood estimates of the source location parameters are obtained through a global grid search. The two steps are iteratively repeated until the pre-defined convergence is reached. Simulation results show that our proposed EM algorithm have a good performance and is a better solution for ML estimation which approach a good trade-off between estimation error and computation complexity.
Starting Page	5319
Ending Page	5324
File Size	252469
Page Count	6
File Format	PDF
ISBN	9781424417339
DOI	10.1109/CCDC.2008.4598346
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor network Maximum likelihood estimation Expectation Maximization Signal processing algorithms Estimation Position measurement Acoustics Sensors Complexity theory maximum likelihood estimation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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