On localizing the source of random signals using sensor networks

Author

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

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY

fYear

2009

fDate

18-20 March 2009

Firstpage

230

Lastpage

234

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

correlation methods; distributed sensors; maximum likelihood estimation; random processes; statistical distributions; MLE; copula theory; joint parametric density; maximum likelihood estimation; multivariate distribution; random signal; sensor networks; source localization; spatial correlation; Acoustic sensors; Computer science; Laboratories; Mathematics; Maximum likelihood detection; Maximum likelihood estimation; Multimodal sensors; Sensor fusion; Sensor phenomena and characterization; Signal processing; Copula theory; Maximum likelihood estimation; Source localization;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Baltimore, MD

Print_ISBN

978-1-4244-2733-8

Electronic_ISBN

978-1-4244-2734-5

Type

conf

DOI

10.1109/CISS.2009.5054722

Filename

5054722