Blind Channel Equalization and Identification
Blind Channel Equalization and Identification
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Adaptive Filters
New hybrid adaptive blind equalization algorithms for QAM signals
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Equalization and carrier phase recovery of CMA and MMA in blind adaptive receivers
IEEE Transactions on Signal Processing
Blind equalization of square-QAM signals: a multimodulus approach
IEEE Transactions on Communications
A time-domain feedback analysis of filtered-error adaptive gradientalgorithms
IEEE Transactions on Signal Processing
Improving the Tracking Capability of Adaptive Filters via Convex Combination
IEEE Transactions on Signal Processing - Part II
A feedback approach to the steady-state performance of fractionallyspaced blind adaptive equalizers
IEEE Transactions on Signal Processing
Adaptive fractionally spaced blind CMA equalization: excess MSE
IEEE Transactions on Signal Processing
New Algorithms for Blind Equalization: The Constant Norm Algorithm Family
IEEE Transactions on Signal Processing
Avoiding Divergence in the Shalvi–Weinstein Algorithm
IEEE Transactions on Signal Processing
A hybrid adaptive blind equalization algorithm for QAM signals in wireless communications
IEEE Transactions on Signal Processing
Stochastic Stability Analysis for the Constant-Modulus Algorithm
IEEE Transactions on Signal Processing - Part I
Convergence analysis of self-adaptive equalizers
IEEE Transactions on Information Theory
Convergence analysis of the constant modulus algorithm
IEEE Transactions on Information Theory
Property restoral approach to blind equalization of digital transmission channels
IEEE Transactions on Consumer Electronics
The multimodulus blind equalization and its generalized algorithms
IEEE Journal on Selected Areas in Communications
Convergence Properties of Adaptive Equalizer Algorithms
IEEE Transactions on Signal Processing
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It is well known that constant-modulus-based algorithms present a large mean-square error for high-order quadrature amplitude modulation (QAM) signals, which may damage the switching to decision-directed-based algorithms. In this paper, we introduce a regional multimodulus algorithm for blind equalization of QAM signals that performs similar to the supervised normalized least-mean-squares (NLMS) algorithm, independently of the QAM order. We find a theoretical relation between the coefficient vector of the proposed algorithm and the Wiener solution and also provide theoretical models for the steady-state excess mean-square error in a nonstationary environment. The proposed algorithm in conjunction with strategies to speed up its convergence and to avoid divergence can bypass the switching mechanism between the blind mode and the decision-directed mode.