Adaptive filtering algorithms with quatratized cost function for linearly constrained arrays


  • Victor I. Djigan Russian Research Center Huawei, Russian Federation



adaptive arrays, least mean square, recursive least mean squares, linear constraints, constant modulus, blind adaptive filtering algorithms


This article considers peculiarities of adaptive filtering algorithms for arrays based on the Linearly Constrained quadratic and multi-extreme Constant Modulus cost functions minimization. The results of using the Linearly Constrained quadratized Constant Modulus cost function in the complex-valued LMS and RLS algorithms for the adaptive arrays are presented. The algorithms efficiency is compared to that of the real-valued arithmetic versions of the considered algorithms.


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