Robust blind equalization algorithms based on the constrained maximization of a fourth-order cumulant function

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作者
Department of Electronic and Control Systems Engineering, Shimane University, Matsue-shi, 690-8504, Japan [1 ]
不详 [2 ]
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不详 [4 ]
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IEICE Trans Fund Electron Commun Comput Sci | 2006年 / 5卷 / 1495-1499期
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Algorithms - Computer simulation - Eigenvalues and eigenfunctions - Gaussian noise (electronic) - Optimization;
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摘要
The present letter deals with the blind equalization problem of a single-input single-output infinite impulse response (SISO-IIR) channel with additive Gaussian noise. To solve the problem, we propose a new criterion for maximizing constrainedly a fourth-order cumulant. The algorithms derived from the criterion have such a novel property that even if Gaussian noise is added to the output of the channel, an effective zero-forcing (ZF) equalizer can be obtained with as little influence of Gaussian noise as possible. To show the validity of the proposed criterion, some simulation results are presented. Copyright © 2006 The Institute of Electronics, Information and Communication Engineers.
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