On localizing the source of random signals using sensor networks

Ashok Sundaresan, Pramod K. Varshney, Nageswara S.V. Rao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

The problem of source localization using a network of sensors is considered. A maximum likelihood estimation (MLE) based approach is adopted. The measurements received at the sensors due to the random phenomenon are spatially correlated and are characterized by a multivariate distribution. Using the theory of copulas, the joint parametric density of sensor observations is obtained assuming only the knowledge of their marginal densities. An example showing the efficiency of the proposed approach is presented.

Original languageEnglish (US)
Title of host publicationProceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009
Pages230-234
Number of pages5
DOIs
StatePublished - Oct 12 2009
Event43rd Annual Conference on Information Sciences and Systems, CISS 2009 - Baltimore, MD, United States
Duration: Mar 18 2009Mar 20 2009

Publication series

NameProceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009

Other

Other43rd Annual Conference on Information Sciences and Systems, CISS 2009
CountryUnited States
CityBaltimore, MD
Period3/18/093/20/09

Keywords

  • Copula theory
  • Maximum likelihood estimation
  • Source localization

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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  • Cite this

    Sundaresan, A., Varshney, P. K., & Rao, N. S. V. (2009). On localizing the source of random signals using sensor networks. In Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009 (pp. 230-234). [5054722] (Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009). https://doi.org/10.1109/CISS.2009.5054722