DocumentCode :
2640463
Title :
Interference identification for detection with application to adaptive beamforming
Author :
McCloud, Michael ; Scharf, Louis L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA
Volume :
2
fYear :
1998
fDate :
1-4 Nov. 1998
Firstpage :
1438
Abstract :
We develop a technique for identifying the interference subspace in a signal plus interference plus additive white Gaussian noise model. Using this technique we propose a direction of arrival (DOA) estimator for uncorrelated signals impinging on a sensor array. Numerical examples are presented suggesting the superiority of this technique over MUSIC.
Keywords :
AWGN; array signal processing; direction-of-arrival estimation; interference (signal); signal detection; AWGN model; DOA estimator; MUSIC; adaptive beamforming; additive white Gaussian noise; direction of arrival estimator; interference identification; interference model; interference subspace; linear algebra; sensor array; signal detection; signal model; uncorrelated signals; Array signal processing; Decorrelation; Detectors; Direction of arrival estimation; Interference; Multiple signal classification; Sensor arrays; Signal processing; Signal to noise ratio; Symmetric matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-5148-7
Type :
conf
DOI :
10.1109/ACSSC.1998.751564
Filename :
751564
Link To Document :
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