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Semi-Blind Methods for Communications

Abstract : The present chapter addresses the problem of channel equalization and source separation in digital communications. Semi-blind techniques incorporate training symbols into blind criteria and arise as a judicious compromise benefiting from the advantages of supervised and blind techniques. Algebraic (i.e., closed-form) solutions can provide perfect equalization in the absence of noise, and are shown to be connected to matrix and tensor algebra problems. Iterative semi-blind equalizers are useful in the presence of noise, and can be efficiently implemented by an optimal step-size gradient-based search. The optimal combination of the training and blind criteria is also addressed.
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Contributor : Vicente Zarzoso Connect in order to contact the contributor
Submitted on : Friday, July 26, 2013 - 4:37:05 PM
Last modification on : Thursday, August 4, 2022 - 4:53:46 PM


  • HAL Id : hal-00848636, version 1



Vicente Zarzoso, Pierre Comon, Dirk Slock. Semi-Blind Methods for Communications. Pierre Comon, Christian Jutten. Handbook of Blind Source Separation, Independent Component Analysis and Applications, Academic Press, pp.593-638, 2010. ⟨hal-00848636⟩



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