Statistical analysis of beam-space estimation for direction-of-arrivals

Author

Li, Fu ; Liu, Hui

Author_Institution

Dept. of Electr. Eng., Portland State Univ., OR, USA

Volume

42

Issue

3

fYear

1994

fDate

3/1/1994 12:00:00 AM

Firstpage

604

Lastpage

610

Abstract

The authors analyze the beam-space performance of the DOA estimation for several subspace processing algorithms in a unified fashion based on a finite amount of measurements. The mean-squared errors (MSE) of the beam-space DOA estimation for these algorithms are expressed; in a single formula using physical parameters like array manifold, beamformer matrix. The important properties of beam-space performance are revealed; for instance, increasing beam-space dimension does not always reduce MSE for all algorithms. Also, the criteria for designing minimum mean-squared error beamformers are discussed

Keywords

array signal processing; matrix algebra; statistical analysis; DOA estimation; MSE; array manifold; beam-space dimension; beam-space estimation; beam-space performance; beamformer matrix; direction-of-arrivals; mean-squared errors; measurements; minimum mean-squared error beamformers; statistical analysis; subspace processing algorithms; Algorithm design and analysis; Bismuth; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Multiple signal classification; Performance analysis; Phased arrays; Sensor arrays; Statistical analysis;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.277852

Filename

277852