A Newton-like algorithm for adaptive multi-modulus blind equalization

Abstract

This work concentrates on the development of a Newton-like algorithm for blind equalization. This algorithm is obtained by applying a complex Taylor series on a recently proposed soft constraint satisfaction multi-modulus blind equalization algorithm of order p (SCS-MMA-p). The proposed algorithm is a generalized version of the SCS-MMA-p. This algorithm is called stochastic Newton-like soft constraint satisfaction multi-modulus algorithm of order p (SNL-SCS-MMA-p).Simulation results carried out, on both baud spaced and fractionally-spaced equalizers, to assess the performance of the prosed algorithm reveal great improvement in performance of the proposed algorithm against that of the SCS-MMA for different values of the parameter p.

Multi-modulus algorithm based on global artificial fish swarm intelligent optimization of DNA encoding sequences

“…The QAM signals have a plural modulus value and the signal constellations are distributed in circles with different radii. Therefore, the multi-modulus algorithm (MMA) can effectively equalize higher-order multi-modulus QAM signals (Paracha and Zerguine, 2011).…”