Blind Channel Equalization Using Second-Order Statistics: A Necessary and Sufficient Condition

Circuits Systems and Signal Processing (Impact Factor: 1.12). 01/2006; 25(4):511-523. DOI: 10.1007/s00034-005-0809-0


In this work the blind equalization of a single-input, multiple-output channel has been carried out using second-order statistics.
A sufficient and necessary condition for blind equalization based on second order statistics has been given. It has been
proved that a single autocorrelation matrix of the source symbols is sufficient for blind equalization. The proposed scheme
is generalized; that is, it is valid for white as well as colored source symbols. A linear artificial neural network is developed
with a learning algorithm based on the new condition. The results of the new algorithm verify its validity and superior

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