Analysis of the spatial filtering approach to the decorrelation of coherent sources

Author

Moghaddamjoo, Alireza ; Chang, Tzu-Chieh

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Wisconsin Univ., Milwaukee, WI, USA

Volume

40

Issue

3

fYear

1992

fDate

3/1/1992 12:00:00 AM

Firstpage

692

Lastpage

694

Abstract

The recently proposed spatial filtering, which is developed to effectively decorrelate coherent signals, is analyzed. It has been shown that any set of distinct preliminary estimates of directions of arrival (DOAs) can be used to obtain a full rank source covariance matrix. In addition, a particular signal enhancement approach is developed to minimize the effects of the sensor noise. Statistical analysis of the spatial filtering and its enhanced version are also studied using the Monte Carlo method

Keywords

correlation theory; filtering and prediction theory; matrix algebra; signal processing; Monte Carlo method; coherent signals; coherent sources; directions of arrival; full rank matrix; sensor noise; signal enhancement; source covariance matrix; spatial filtering; statistical analysis; Array signal processing; Covariance matrix; Decorrelation; Direction of arrival estimation; Filtering algorithms; Multiple signal classification; Sensor arrays; Signal analysis; Spatial filters; Statistical analysis;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.120815

Filename

120815