DocumentCode :
2029326
Title :
Source separation based on coupled single DOA estimation processors
Author :
Nájar, Montse ; Lagunas, Miguel A. ; Pérez-Neira, Ana I.
Author_Institution :
TSC Dept., ETSI. de Telecommun., Barcelona, Spain
Volume :
4
fYear :
1993
fDate :
27-30 April 1993
Firstpage :
336
Abstract :
The separation of sources from an array of sensors is addressed. Based on Kolmogorov´s theorem, an adaptive algorithm is proposed to separate simultaneously all the unknown impinging sources on an aperture of sensors. This method solves the problem of simultaneous direction of arrival (angle of arrival) estimation and source beamforming in narrowband array processing. Kolmogorov´s theorem is implemented by a network composed of two different stages: the inhibition and the optimization stages.<>
Keywords :
adaptive filters; array signal processing; optimisation; Kolmogorov´s theorem; adaptive algorithm; array of sensors; coupled single DOA estimation processors; direction of arrival; inhibition; narrowband array processing; optimization; separation of sources; source beamforming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location :
Minneapolis, MN, USA
ISSN :
1520-6149
Print_ISBN :
0-7803-7402-9
Type :
conf
DOI :
10.1109/ICASSP.1993.319663
Filename :
319663
Link To Document :
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