Adaptive filtering algorithms with quatratized cost function for Linearly Constrained arrays

This paper 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.