DocumentCode
2506597
Title
Performance of statistical inference methods for the energy estimation of multiple sources
Author
Couillet, Romain ; Guillaud, Maxime
Author_Institution
Syst. Sci. & the Energy Challenge, Supelec, France
fYear
2011
fDate
28-30 June 2011
Firstpage
673
Lastpage
676
Abstract
This article considers statistical inference of the transmit powers of multiple signal sources by a sensor network. Using random matrix methods, an exact expression of the posterior probability of the joint transmit powers is derived. This expression is used to implement the associated ML and MMSE detectors of the joint powers. These are compared for small system sizes against an asymptotically unbiased estimator obtained from large dimensional random matrix theory.
Keywords
inference mechanisms; least mean squares methods; matrix algebra; maximum likelihood detection; probability; sensors; statistical analysis; ML detectors; MMSE detectors; asymptotic unbiased estimator; energy estimation; joint transmit powers; large dimensional random matrix theory; multiple signal sources; posterior probability; sensor network; statistical inference methods; Arrays; Eigenvalues and eigenfunctions; Joints; Maximum likelihood estimation; Mean square error methods; Tin;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing Workshop (SSP), 2011 IEEE
Conference_Location
Nice
ISSN
pending
Print_ISBN
978-1-4577-0569-4
Type
conf
DOI
10.1109/SSP.2011.5967791
Filename
5967791
Link To Document