DocumentCode :
1226582
Title :
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
Link To Document :
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