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Blind Source Separation of a Mixture of Communication Sources with Various Symbol Periods
Sebastien HOUCKE Antoine CHEVREUIL Philippe LOUBATON
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2003/03/01
Print ISSN: 0916-8508
Type of Manuscript: INVITED PAPER (Special Section on Blind Signal Processing: Independent Component Analysis and Signal Separation)
Category: Convolutive Systems
convolutive mixtures, symbol period recovery, contrast function, deflation,
Full Text: PDF(381KB)>>
A blind source separation problem in a solicitations context is addressed. The mixture stems from several telecommunication signals, the symbol periods of which are unknown and possibly different. Cost functions are introduced, the optimization of which achieves the equalization for a user, i.e. estimation of the symbol period and the associated sequence of symbols. The method is iterated by implementing a deflation. The theoretical results are validated by simulations.