DocumentCode
2506648
Title
On the consistency of the G-MUSIC DoA estimator
Author
Vallet, P. ; Hachem, W. ; Loubaton, P. ; Mestre, X. ; Najim, J.
Author_Institution
IGM, Marne-la-Vallée, France
fYear
2011
fDate
28-30 June 2011
Firstpage
685
Lastpage
688
Abstract
Recently, a new subspace DoA estimation method (called "G-MUSIC") has been proposed, in the context where the number of available snapshots N is of the same order of magnitude than the number of sensors M. In this context, the traditional subspace methods tend to fail because the empirical covari-ance matrix of the observations is a poor estimate of the true covariance matrix. G-MUSIC is based on a new consistent estimator of the localization function in the regime where M and N tend to +∞ at the same rate. However, the consistency of the DoA estimator was not adressed. The purpose of this paper is to prove the consistency of the angles estimator in the previous asymptotic regime.
Keywords
covariance matrices; direction-of-arrival estimation; signal classification; G-MUSIC DoA estimator; covariance matrix; subspace methods; Context; Direction of arrival estimation; Eigenvalues and eigenfunctions; Estimation; Manganese; Multiple signal classification; Noise; DoA estimation; MUSIC; Random matrices;
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.2011.5967794
Filename
5967794
Link To Document