Title
Asymptotic Properties of Robust Complex Covariance Matrix Estimates
Abstract
In many statistical signal processing applications, the estimation of nuisance parameters and parameters of interest is strongly linked to the resulting performance. Generally, these applications deal with complex data. This paper focuses on covariance matrix estimation problems in non-Gaussian environments, and particularly the M -estimators in the context of elliptical distributions. First, this paper extends to the complex case the results of Tyler in [D. Tyler, “Robustness and Efficiency Properties of Scatter Matrices,” Biometrika, vol. 70, no. 2, p. 411, 1983]. More precisely, the asymptotic distribution of these estimators as well as the asymptotic distribution of any homogeneous function of degree 0 of the M -estimates are derived. On the other hand, we show the improvement of such results on two applications: directions of arrival (DOA) estimation using the MUltiple SIgnal Classification (MUSIC) algorithm and adaptive radar detection based on the Adaptive Normalized Matched Filter (ANMF) test.
Year
DOI
Venue
2013
10.1109/TSP.2013.2259823
IEEE Transactions on Signal Processing
Keywords
Field
DocType
s-matrix theory,statistical distributions,nuisance parameter estimation,elliptical distributions,doa estimation,robust complex covariance matrix estimation,nongaussian environment,covariance matrix estimation,statistical analysis,maximum likelihood estimation,complex $m$-estimators,covariance matrices,adaptive radar detection,m estimation,adaptive normalized matched filter,music algorithm,asymptotic distribution,robust estimation,signal classification,homogeneous function,scatter matrix,directions of arrival estimation,anmf test,statistical signal processing,multiple signal classification,elliptical distribution
Mathematical optimization,Estimation of covariance matrices,Matrix (mathematics),Probability distribution,Statistical signal processing,Covariance matrix,Matched filter,Mathematics,Estimator,Asymptotic distribution
Journal
Volume
Issue
ISSN
61
13
1053-587X
Citations 
PageRank 
References 
20
0.97
5
Authors
4
Name
Order
Citations
PageRank
Melanie Mahot1272.21
Frédéric Pascal217523.99
Philippe Forster317723.04
Jean Philippe Ovarlez419025.11