Blind identification and equalization based on second-order statistics: a time domain approach

1994/03/01 by Lang Tong, Guanghan Xu, T. Kailath · 7 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Blind Source Separation Techniques #Speech and Audio Processing #Fractal and DNA sequence analysis

paper · doi:10.1109/18.312157

Abstract

A new blind channel identification and equalization method is proposed that exploits the cyclostationarity of oversampled communication signals to achieve identification and equalization of possibly nonminimum phase (multipath) channels without using training signals. Unlike most adaptive blind equalization methods for which the convergence properties are often problematic, the channel estimation algorithm proposed here is asymptotically ex-set. Moreover, since it is based on second-order statistics, the new approach may achieve equalization with fewer symbols than most techniques based only on higher-order statistics. Simulations have demonstrated promising performance of the proposed algorithm for the blind equalization of a three-ray multipath channel.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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