A Newton-like algorithm for adaptive multi-modulus blind equalization
Kashif N. Paracha, Azzedine Zerguine · 2011
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.