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A Class of Channels Resulting in Ill-Convergence for CMA in Decision Feedback Equalizers
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2010)
This paper analyzes the convergence of the constant modulus algorithm (CMA) in a decision feedback equalizer using only a feedback filter. Several works had already observed that the CMA presented a better performance than ...
Stochastic stability analysis for the constant-modulus algorithm
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2008)
We derive an easy-to-compute approximate bound for the range of step-sizes for which the constant-modulus algorithm (CMA) will remain stable if initialized close to a minimum of the CM cost function. Our model highlights ...
Blind search for optimal Wiener equalizers using an artificial immune network model
(Hindawi Publishing CorporationCayahoga FallsEUA, 2003)
Avoiding Divergence in the Shalvi-Weinstein Algorithm
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2008)
The most popular algorithms for blind equalization are the constant-modulus algorithm (CMA) and the Shalvi-Weinstein algorithm (SWA). It is well-known that SWA presents a higher convergence rate than CMA. at the expense ...
Improving the tracking capability of adaptive filters via convex combination
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2008)
As is well known, Hessian-based adaptive filters (such as the recursive-least squares algorithm (RLS) for supervised adaptive filtering, or the Shalvi-Weinstein algorithm (SWA) for blind equalization) converge much faster ...
A regional multirnodulus algorithm for blind equalization of QAM signals: Introduction and steady-state analysis
(ELSEVIER SCIENCE BVAMSTERDAM, 2012)
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. ...