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Blind equalization using second-order statistics

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2 Author(s)
Afkhamie, K.H. ; Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada ; Zhi-Quan Luo

When a message signal is transmitted through a linear dispersive system, the system output may contain severe intersymbol interference (ISI). The removal of the ISI without the aid of training signals is referred to as blind equalization. We present a new algorithm that achieves blind equalization of possibly nonminimum phase channels, based only on the second-order statistics of the source symbols. Source symbols may have an arbitrary distribution; specifically, they do not have to be independently identically distributed (i.i.d.). This is an extension to previous work done by Tong, Xu and Kailath (1994). Simulations show that the new algorithm compares favorably to the algorithm given by Tong, Xu and Kailath

Published in:

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on  (Volume:2 )

Date of Conference:

9-12 May 1995