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CM-Based Blind Equalization of Time-Varying SIMO-FIR Channel With Single Pulsation Estimation

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4 Author(s)
Dezhong Peng ; Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China ; Yong Xiang ; Zhang Yi ; Shui Yu

It is known that the constant modulus (CM) property of the source signal can be exploited to blindly equalize time-invariant single-input-multiple-output (SIMO) and finite-impulse-response (FIR) channels. However, the time-invariance assumption about the channel cannot be satisfied in several practical applications, e.g., mobile communication. In this paper, we show that, under some mild conditions, the CM criterion can be extended to the blind equalization of a time-varying channel that is described by the complex exponential basis expansion model (CE-BEM). Although several existing blind equalization methods that are based on the CE-BEM have to employ higher order statistics to estimate all nonzero channel pulsations, the CM-based method only needs to estimate one pulsation using second-order statistics, which yields better estimation results. It also relaxes the restriction on the source signal and is applicable to some classes of signals with which the existing methods cannot deal.

Published in:

IEEE Transactions on Vehicular Technology  (Volume:60 ,  Issue: 5 )