Algebraic reduction for the Golden Code

Ghaya Rekaya Ben Othman, Laura Luzzi, Jean Claude Belfiore

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

Abstract

In this paper we introduce a new right preprocessing method for the decoding of 2 x 2 algebraic space-time codes, called algebraic reduction, which exploits the multiplicative structure of the code. The principle of the new reduction is to absorb part of the channel into the code, by approximating the channel matrix with an element of the maximal order of the code algebra. We prove that algebraic reduction attains the receive diversity when followed by a simple zero-forcing (ZF) detection. Simulation results for the Golden Code show that using minimum mean squared error generalized decision feedback equalization (MMSE-GDFE left preprocessing), algebraic reduction with simple ZF detection has a loss of only 3dB with respect to optimal decoding.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE International Conference on Communications, ICC 2009
DOIs
Publication statusPublished - 19 Nov 2009
Event2009 IEEE International Conference on Communications, ICC 2009 - Dresden, Germany
Duration: 14 Jun 200918 Jun 2009

Publication series

NameIEEE International Conference on Communications
ISSN (Print)0536-1486

Conference

Conference2009 IEEE International Conference on Communications, ICC 2009
Country/TerritoryGermany
CityDresden
Period14/06/0918/06/09

Keywords

  • Algebraic reduction
  • Decoding
  • Golden Code
  • Right preprocessing
  • Space-time codes

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