Title :
An Adaptive Paraunitary Approach for Blind Equalization of All equalizable MIMO Channels
Author :
Erdogan, Alper Tunga
Author_Institution :
Koc Univ., Istanbul
Abstract :
We introduce a novel adaptive paraunitary approach to be used for the blind deconvolution of all deconvolvable MIMO mixing systems with memory The proposed adaptive approach is based on the use of alternating projections technique for the enforcement of the paraunitary constraint. The use of this approach enables extension of various instantaneous blind source separation (BSS) approaches to handle the convolutive BSS case. Three such methods, namely FastICA, multi user kurtosis and BSS for bounded magnitude signals are provided to illustrate the use of this approach
Keywords :
MIMO systems; blind equalisers; blind source separation; wireless channels; BSS; FastICA; adaptive paraunitary approach; blind equalization; blind source separation; bounded magnitude signals; equalizable MIMO channels; multi user kurtosis; Adaptive equalizers; Blind equalizers; Blind source separation; Convolution; Deconvolution; Higher order statistics; MIMO; Matrix converters; Matrix decomposition; Source separation;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1661393