Adaptive MMSE Equalizer for Blind Fractional Spaced CMA Channel Equalization Through LMS Algorithm

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Executive Summary

The adaptive algorithm has been widely used in the digital signal processing like channel estimation, channel equalization, echo cancellation, and so on. One of the most important adaptive algorithms is the LMS algorithm. The authors present in this paper an multiple objective optimization approach to fast blind channel equalization. By investigating first the performance (mean-square error) of the standard fractionally spaced CMA (Constant Modulus Algorithm) equalizer in the presence of noise, they show that CMA local minima exist near the Minimum Mean-Square Error (MMSE) equalizers.

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