Blind channel equalization based on iterative weighted Least-Mean squared algorithm

Document Type

Conference Proceeding

Publication Date

12-1-2004

Abstract

Expectation-maximization (EM) criterion has been widely applied for sparse observed data, such as time-varying wireless channel equalization. Previous EM techniques for joint channel estimation and symbol detection had computational complexity exponentially proportional to channel model order. In this paper, we derive an efficient Iterative Weighted Least Mean Squared (IWLMS) algorithm based on EM for blind equalization. Our new IWLMS algorithm, greatly outperforms the popular blind equalization method based on the constant-modulas criteria according to Monte Carlo experiments. © 2004 IEEE.

Publication Source (Journal or Book title)

IEEE Vehicular Technology Conference

First Page

3833

Last Page

3837

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