Performance study of conditional and unconditional direction-of-arrival estimation

Author

Stoica, Petre ; Nehorai, Arye

Author_Institution

Dept. of Autom. Control, Polytech. Inst. of Bucharest, Romania

Volume

38

Issue

10

fYear

1990

fDate

10/1/1990 12:00:00 AM

Firstpage

1783

Lastpage

1795

Abstract

A numerical and analytical study of conditional and unconditional direction-of-arrival (DOA) estimation is presented. Explicit expressions for the unconditional Cramer-Rao bounds on the DOA estimation accuracy and the covariance matrix of the conditional maximum likelihood method are given. It is shown that many DOA estimation methods have the same asymptotic statistical properties under conditional and unconditional models. The situation of two narrowband plane signals impinging on a uniformly spaced linear array is discussed

Keywords

signal detection; signal processing; Cramer-Rao bounds; asymptotic statistical properties; conditional maximum likelihood method; covariance matrix; narrowband plane signals; unconditional direction-of-arrival estimation; uniformly spaced linear array; Covariance matrix; Data models; Direction of arrival estimation; Helium; Maximum likelihood estimation; Narrowband; Random processes; Sensor arrays; Signal to noise ratio; Unified modeling language;

fLanguage

English

Journal_Title

Acoustics, Speech and Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

0096-3518

Type

jour

DOI

10.1109/29.60109

Filename

60109