Fast algorithm for adaptive blind equalization using order-α Renyi's entropy
In this paper a novel blind equalization algorithm based on stochastic gradient descent minimization of order-α Renyi's entropy and designed for constant modulus signals is introduced. The algorithm applies a new nonparametric estimator for Renyi's entropy, which has been recently proposed and allows to compute any order of entropy. In comparison with conventional adaptive blind techniques, such us CMA, the proposed algorithm shows a remarkable increase in convergence speed with only a moderate increase in computational cost.