Title :
Unified formulation of closed-form estimators for blind source separation in complex instantaneous linear mixtures
Author :
Zarzoso, Vicente ; Nandi, Asoke K.
Author_Institution :
Signal Processing and Communications Group, Department of Electrical Engineering and Electronics, The University of Liverpool, Brownlow Hill, Liverpool L69 3GJ, England, UK
Abstract :
The blind separation of unknown independent source signals from sensor observations is addressed in environments of instantaneous linear mixtures. After pre-whitening the sensor data, the source extraction reduces to the identification of certain parameters defining a unitary transformation. This contribution develops the algebraic devices which allow us: 1) to provide a unified formulation of the closed-form estimators of the separation parameters in the complex-mixture scenario — typical of multi-user digital communications —, and 2) to disclose the remarkable parallelism existing between the real and the complex problem in the context of their analytic solutions.
Keywords :
Blind source separation; Digital communication; Maximum likelihood estimation; Vectors;
Conference_Titel :
Signal Processing Conference, 2000 10th European
Print_ISBN :
978-952-1504-43-3