Simultaneous Doa Estimation Based on Kolmogorov's Theorem*
نویسندگان
چکیده
The design of a new architecture for signal processing, based on the Kolmogorov's Theorem, is addressed in this paper. This architecture is applied to solve the problem of source separation. Particularly. an adaptive algorithm is proposed to separate simultaneously all the unknown impinging sources on an aperture of sensors. The implemented framework is composed of two different stages: the first one is the inhibition stage, wich tums the problem of estimating simultaneous DOAs (directions of arrival) into problems of a single source DOA estimation; and the second one is the optimisation stage which estimates the required parameter in a single signal context easier than the initial one with multiple signal. A high order rule for learning is described, it improves the behaviour of the system assuring independence of the outputs.
منابع مشابه
Source Separation Based on Coupled Single Doa Estimation Processors*
The separation of sources from an array of sensors is addressed in this paper. Based on the 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 DOA (angle of arrival) estimation and source beamforming in narrowband array processing. The Kolmogorov's theorem ...
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