Asymptotically minimum variance second-order estimation for noncircular signals with application to DOA estimation

Author

Delmas, Jean-Pierre

Author_Institution

Dept. CITI, UMR-CNRS, Evry, France

Volume

52

Issue

5

fYear

2004

fDate

5/1/2004 12:00:00 AM

Firstpage

1235

Lastpage

1241

Abstract

This paper addresses asymptotically minimum variance (AMV) algorithms within the class of algorithms based on second-order statistics for estimating direction-of-arrival (DOA) parameters of possibly spatially correlated (even coherent) narrowband noncircular sources impinging on arbitrary array structures. To reduce the computational complexity due to the nonlinear minimization required by the matching approach, the covariance matching estimation technique (COMET) is included in the algorithm. Numerical examples illustrate the performance of the AMV algorithm.

Keywords

computational complexity; correlation methods; covariance matrices; direction-of-arrival estimation; minimisation; statistical analysis; DOA estimation; arbitrary array structures; asymptotically minimum variance; computational complexity reduction; covariance matching estimation technique; direction-of-arrival estimation; matching approach; narrowband noncircular sources; noncircular signals; nonlinear minimization; second-order statistics; Binary phase shift keying; Computational complexity; Covariance matrix; Direction of arrival estimation; Minimization methods; Mobile communication; Narrowband; Parameter estimation; Sensor arrays; Statistics;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/TSP.2004.826170

Filename

1284821