Title :
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
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;
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
DOI :
10.1109/SSAP.1996.534941
