Fast Blind Equalization Using Complex-Valued MLP
Neural Processing Letters
Mixed-norm constant modulus algorithm for channel equalization of wireless communication systems
AIC'04 Proceedings of the 4th WSEAS International Conference on Applied Informatics and Communications
A high performance blind adaptive filtering algorithm
ICECS'03 Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing
Equalization and carrier phase recovery of CMA and MMA in blind adaptive receivers
IEEE Transactions on Signal Processing
A blind equalization algorithm for biological signals transmission
Digital Signal Processing
A new hybrid blind equalization algorithm with steady-state performance analysis
Digital Signal Processing
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Adaptive blind equalization has gained widespread use in communication systems that operate without training signals. In particular, the constant modulus algorithm (CMA) has become a favorite of practitioners due to its LMS-like complexity and desirable robustness properties. The desire for further reduction in computational complexity has motivated signed-error versions of CMA, which have been found to lack the robustness properties of CMA. This paper presents a simple modification of signed-error CMA, based on the judicious use of dither, that results in an algorithm with robustness properties closely resembling those of CMA. We establish the fundamental transient and steady-state properties of dithered signed-error CMA and compare them with those of CMA