A Novel Dual Mode Decision Directed Multimodulus Algorithm (DM-DD-MMA) for Blind Adaptive Equalization

Sagi Tadmor, Sapir Carmi, Monika Pinchas

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

Abstract

In this paper, we propose for the 16 quadrature amplitude modulation (QAM) input case, a dual-mode (DM), decision directed (DD) multimodulus algorithm (MMA) algorithm for blind adaptive equalization which we name as DM-DD-MMA. In this new proposed algorithm, the MMA method is switched to the DD algorithm, based on a previously obtained expression for the step-size parameter valid at the convergence state of the blind adaptive equalizer, that depends on the channel power, input signal statistics and on the properties of the chosen algorithm. Simulation results show that improved equalization performance is obtained for the 16 QAM input case compared with the DM-CMA (where CMA is the constant modulus algorithm), DM-MCMA (where MCMA is the modified CMA) and MCMA-MDDMA (where MDDMA is the modified decision directed modulus algorithm).

Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Electronics, Communications and Networks, CECNet 2021
EditorsAntonio J. Tallon-Ballesteros
PublisherIOS Press BV
Pages420-430
Number of pages11
ISBN (Electronic)9781643682402
DOIs
StatePublished - 22 Dec 2021
Event11th International Conference on Electronics, Communications and Networks, CECNet 2021 - Virtual, Online, China
Duration: 18 Nov 202121 Nov 2021

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume345
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference11th International Conference on Electronics, Communications and Networks, CECNet 2021
Country/TerritoryChina
CityVirtual, Online
Period18/11/2121/11/21

Keywords

  • Adaptive equalization
  • Blind equalization
  • CMA
  • Decision directed algorithm
  • Dual mode algorithm

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