Quasi-Newton multimodulus blind equalization algorithm

Kashif N. Paracha, Azzedine Zerguine

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this work, a new stochastic Newton-like algorithm for blind equalization is developed. This is obtained by applying a complex Taylor series on a recently proposed soft constraint satisf action multi-modulus blind equalization algorithm of order p (SCS-MMA-p). The proposed algorithm is a generalized version of the SCS-MMA-p and is named as stochastic Newton-like soft constraint satisf action multi-modulus algorithm of order p (SNL-SCS-MMA-p). Great improvement in performance of the proposed algorithm is obtained against that of the SCS-MMA for different values of p.

Original languageEnglish
Title of host publicationIEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009
Pages151-154
Number of pages4
DOIs
StatePublished - 2009

Publication series

NameIEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009

Keywords

  • Blind equalization
  • Newton method
  • SNL-SCS-MMA-p

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

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