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

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7 Scopus citations

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.

Original languageEnglish
Title of host publication7th International Workshop on Systems, Signal Processing and their Applications, WoSSPA 2011
Pages283-286
Number of pages4
DOIs
StatePublished - 2011

Publication series

Name7th International Workshop on Systems, Signal Processing and their Applications, WoSSPA 2011

Keywords

  • Blind equalization
  • Multi-modulus Blind Equalization
  • Newton method
  • SNL-SCS-MMA-p

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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