Performance analyses of beamformers using effective SINR on array parameters

Author

Tsai, Chumg-Jou ; Yang, Jar-Ferr ; Shiu, Tsung-Hau

Author_Institution

Dept. of Electr. Eng., Kung Shan Inst. of Technol. & Commerce, Taiwan

Volume

43

Issue

1

fYear

1995

fDate

1/1/1995 12:00:00 AM

Firstpage

300

Lastpage

303

Abstract

Proposes a coherent source model to precisely describe the variations of output powers of beamformers. Based upon these output powers, the authors propose an effective signal-to-interference-and-noise-ratio (SINR_ε) to analyze the performance of the beamformer for the case of a single interference. For the finite number of data snapshots, they employ Fisher´s Z transformation to derive an effective correlation of the sources. They found that the performance of the beamformer versus the number of snapshots can be approximately estimated by this effective correlation. Monte Carlo simulations are demonstrated to support the proposed theoretical developments

Keywords

Monte Carlo methods; array signal processing; correlation methods; interference suppression; Fisher´s Z transformation; Monte Carlo simulations; array parameters; beamformers; coherent source model; data snapshots; effective SINR; effective correlation; output powers; performance; signal-to-interference-and-noise-ratio; Covariance matrix; Interference cancellation; Noise cancellation; Performance analysis; Power generation; Sensor arrays; Sensor phenomena and characterization; Signal analysis; Signal to noise ratio; Vectors;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.365311

Filename

365311