articleIEEE Transactions on Signal ProcessingDec 20, 2004GREEN OA

Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensor networks

XSXiaohong ShengYHYu Hen Hu

University of Wisconsin–Madison

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Abstract

A maximum likelihood (ML) acoustic source location estimation method is presented for the application in a wireless ad hoc sensor network. This method uses acoustic signal energy measurements taken at individual sensors of an ad hoc wireless sensor network to estimate the locations of multiple acoustic sources. Compared to the existing acoustic energy based source localization methods, this proposed ML method delivers more accurate results and offers the enhanced capability of multiple source localization. A multiresolution search algorithm and an expectation-maximization (EM) like iterative algorithm are proposed to expedite the computation of source locations. The Crame/spl acute/r-Rao Bound (CRB) of the ML…

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Topics & keywords

Topics
Keywords
  • Computer science
  • Wireless sensor network
  • Energy (signal processing)
  • Acoustic source localization
  • Multilateration
  • Computation
  • Wireless
  • Algorithm
UN Sustainable Development Goals
  • Affordable and clean energy
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