Statistical analysis of the propagator method for DOA estimation without eigendecomposition

Author

Sanchez-Aranjo, J. ; Marcos, S.

Author_Institution

Lab. des Signaux et Syst., CNRS, Gif-sur-Yvette, France

fYear

1996

fDate

24-26 Jun 1996

Firstpage

570

Lastpage

573

Abstract

The propagator method (PM), as well as SWEDE (subspace method without eigendecomposition) and BEWE (bearing estimation without eigendecomposition), belong to a class of subspace-based methods for direction-of-arrival (DOA) estimation which do not require the eigendecomposition of the sample covariance matrix of the received signals and which only use linear operations on the covariance matrix of the received data. These methods can therefore be implemented with a reduced complexity compared to MUSIC. Marcos and Benidir (1990) proposed a method for estimating the power of the sensor noise and the DOA using the PM. The paper statistically analyses these noise power and DOA estimates

Keywords

array signal processing; covariance matrices; direction-of-arrival estimation; noise; signal sampling; statistical analysis; BEWE; DOA estimates; DOA estimation; SWEDE; bearing estimation without eigendecomposition; direction of arrival estimation; linear operations; noise power estimation; propagator method; received data; received signals; sample covariance matrix; sensor noise; statistical analysis; subspace method without eigendecomposition; subspace-based methods; Additive noise; Covariance matrix; Direction of arrival estimation; Matrix decomposition; Multiple signal classification; Performance analysis; Sensor arrays; Signal analysis; Singular value decomposition; Statistical analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004

Conference_Location

Corfu

Print_ISBN

0-8186-7576-4

Type

conf

DOI

10.1109/SSAP.1996.534941

Filename

534941