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
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;
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-4120-7
DOI :
10.1109/ACSSC.1993.342336