CMA Channel Equalization Through an Adaptive MMSE Equalizer Based RLS Algorithm
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 RLS algorithm. The authors present in this paper n 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. Consequently, CMA may converge to a local minimum corresponding to a poorly designed MMSE receiver with considerable large mean-square error.