DocumentCode :
2250720
Title :
Improved coherent source decorrelation by autocorrelation matrix smoothing
Author :
Kozick, Richard J. ; Kassam, Saleem A.
Author_Institution :
Dept. of Electr. Eng., Bucknell Univ., Lewisburg, PA, USA
fYear :
1993
fDate :
1-3 Nov 1993
Firstpage :
1641
Abstract :
Many adaptive beamforming and angle of arrival estimation algorithms perform poorly when the signals arriving at the array are mutually correlated or coherent. We describe an improved technique for coherent signal decorrelation that is based on the idea of autocorrelation matrix smoothing (AMS). We begin with a brief review of the definition and properties of AMS, including a unified interpretation of several previously-proposed decorrelation methods as special cases of AMS. Then we use the AMS approach to formulate an improved decorrelation technique, and conclude with computer simulations that illustrate the performance of the new technique
Keywords :
array signal processing; correlation methods; matrix algebra; parameter estimation; adaptive beamforming; angle of arrival estimation algorithms; autocorrelation matrix smoothing; coherent signal decorrelation; coherent source decorrelation; computer simulations; performance; Adaptive arrays; Array signal processing; Autocorrelation; Computer simulation; Decorrelation; Degradation; Filtering; Nonlinear filters; Sensor arrays; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
0-8186-4120-7
Type :
conf
DOI :
10.1109/ACSSC.1993.342336
Filename :
342336
Link To Document :
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