The Least Square Constant Modulus Algorithm for Blind Adaptive Multiuser Detection

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In this paper, we apply the Least Square Constant Modulus Algorithm(LSCMA) to the blind Multiuser Detection(MUD). The algorithm is shown to be globally stable and convergent for any linearly independent set of input data and converge faster than the conventional Steepest-Descent CMA(SDCMA) and Linearly Constrained CMA(LCCMA),but more complex.
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