On localizing the source of random signals using sensor networks

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

doi:10.1109/CISS.2009.5054722

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 proceeding › Conference contribution › peer-review

4 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 language	English
Title of host publication	Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009
Pages	230-234
Number of pages	5
DOIs	https://doi.org/10.1109/CISS.2009.5054722
State	Published - 2009
Event	43rd Annual Conference on Information Sciences and Systems, CISS 2009 - Baltimore, MD, United States Duration: Mar 18 2009 → Mar 20 2009

Publication series

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

Conference

Conference	43rd Annual Conference on Information Sciences and Systems, CISS 2009
Country/Territory	United States
City	Baltimore, MD
Period	03/18/09 → 03/20/09

Keywords

Copula theory
Maximum likelihood estimation
Source localization

Access to Document

10.1109/CISS.2009.5054722

Cite this

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title = "On localizing the source of random signals using sensor networks",

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.",

keywords = "Copula theory, Maximum likelihood estimation, Source localization",

author = "Ashok Sundaresan and Varshney, \{Pramod K.\} and Rao, \{Nageswara S.V.\}",

year = "2009",

doi = "10.1109/CISS.2009.5054722",

language = "English",

isbn = "9781424427345",

series = "Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009",

pages = "230--234",

booktitle = "Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009",

note = "43rd Annual Conference on Information Sciences and Systems, CISS 2009 ; Conference date: 18-03-2009 Through 20-03-2009",

}

Sundaresan, A, Varshney, PK & Rao, NSV 2009, On localizing the source of random signals using sensor networks. in Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009., 5054722, Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009, pp. 230-234, 43rd Annual Conference on Information Sciences and Systems, CISS 2009, Baltimore, MD, United States, 03/18/09. https://doi.org/10.1109/CISS.2009.5054722

On localizing the source of random signals using sensor networks. / Sundaresan, Ashok; Varshney, Pramod K.; Rao, Nageswara S.V.
Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009. 2009. p. 230-234 5054722 (Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Varshney, Pramod K.

AU - Rao, Nageswara S.V.

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N2 - 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.

AB - 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.

KW - Copula theory

KW - Maximum likelihood estimation

KW - Source localization

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U2 - 10.1109/CISS.2009.5054722

DO - 10.1109/CISS.2009.5054722

M3 - Conference contribution

AN - SCOPUS:70349690434

SN - 9781424427345

T3 - Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009

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

T2 - 43rd Annual Conference on Information Sciences and Systems, CISS 2009

Y2 - 18 March 2009 through 20 March 2009

ER -

On localizing the source of random signals using sensor networks

Abstract

Publication series

Conference

Keywords

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