Performance of DMI and eigenspace-based beamformers

Author

Chang, Lena ; Yeh, Chien-chung

Author_Institution

Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan

Volume

40

Issue

11

fYear

1992

fDate

11/1/1992 12:00:00 AM

Firstpage

1336

Lastpage

1347

Abstract

The performance of the direct matrix inversion (DMI) method for antenna arrays of arbitrary geometry is analyzed by asymptotic statistical techniques. The effects of eigenspace disturbance caused by finite samples on the output interference and noise powers are examined under the unit gain constraint in the direction of the desired signal. The results show that the performance of the DMI method is degraded mostly by the disturbed noise subspace. That suggests the use of an eigenspace-based beamformer in which the weight vector is computed by using the signal-plus-interference subspace component of the sample correlation matrix. Convergence properties of the eigenspace-based beamformer are evaluated for the cases in which the source number is known and in which it is overestimated. Theoretical analyses validated by computer simulations indicate that the eigenspace-based beamformer has faster convergence rate than the DMI method

Keywords

antenna arrays; array signal processing; convergence; eigenvalues and eigenfunctions; statistical analysis; DMI method; antenna arrays; asymptotic statistical techniques; convergence rate; direct matrix inversion; eigenspace-based beamformers; noise powers; output interference; sample correlation matrix; signal-plus-interference subspace component; unit gain constraint; weight vector; Array signal processing; Convergence; Degradation; Direction of arrival estimation; Interference constraints; Performance analysis; Sensor arrays; Signal to noise ratio; Statistical analysis; Subspace constraints;

fLanguage

English

Journal_Title

Antennas and Propagation, IEEE Transactions on

Publisher

ieee

ISSN

0018-926X

Type

jour

DOI

10.1109/8.202711

Filename

202711