Source separation based on coupled single DOA estimation processors

Authors:
M. Najar;M. A. Lagunas;A. I. Perez-Neira
Affiliations:
TSC Dept., ETSI. de Telecommun., Barcelona, Spain;TSC Dept., ETSI. de Telecommun., Barcelona, Spain;TSC Dept., ETSI. de Telecommun., Barcelona, Spain
Venue:
ICASSP '93 Proceedings of the Acoustics, Speech, and Signal Processing, 1993. ICASSP-93 Vol 4., 1993 IEEE International Conference on - Volume 04
Year:
1993

Citing 3
Cited 0

Neurocomputing

Neurocomputing
Blind separation of sources, Part II: problems statement

Signal Processing
The Kolmogorov Signal Processor

IWANN '93 Proceedings of the International Workshop on Artificial Neural Networks: New Trends in Neural Computation

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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.