Simultaneous DOA estimation based on Kolmogorov's theorem
Tipo de documentoTexto en actas de congreso
Fecha de publicación1993
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condiciones de accesoAcceso abierto
The design of a new architecture for signal processing, based on the Kolmogorov's theorem (1957), is addressed. 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, which turns 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 a multiple signal. A high order rule for learning is described, it improves the behaviour of the system assuring independence of the outputs.
CitaciónNajar, M., Lagunas, M. Simultaneous DOA estimation based on Kolmogorov's theorem. A: International Signal Processing Workshop on Higher Order Statistics. "IEEE Signal Processing Workshop on Higher-Order Statistics: June 7 - 9, 1993: Stanford Sierra Group, South Lake Tahoe, CA, USA". Stanford Sierra Group, South Lake Tahoe, CA: Institute of Electrical and Electronics Engineers (IEEE), 1993, p. 280-284.
Versión del editorhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=264551