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Fast maximum-likelihood decoding of 4 x 4 full-diversity quasi-orthogonal STBCs with QAM signals

  • Sandipan Kundu
  • , Weifeng Su
  • , Dimitris A. Pados
  • , Michael J. Medley
  • SUNY Buffalo
  • Air Force Research Laboratory

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

4 Scopus citations

Abstract

In this paper, we present the lowest-computational-complexity maximum-likelihood (ML) decoder known to-date for 4 x 4 full-diversity Quasi-Orthogonal Space-Time Block Codes (QO-STBC) with symbols from square or rectangular quadrature amplitude modulation (QAM) constellations. The complexity savings come from a simplified quadratic ML decoding statistic that is being presented and the utilization of the signal points of the QAM constellation. Comparative computational complexity analysis is carried out and a simulation study demonstrates the theoretical equivalence of the proposed and original ML implementation.

Original languageEnglish
Title of host publication2010 IEEE Global Telecommunications Conference, GLOBECOM 2010
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781424456383
DOIs
StatePublished - 2010
Event53rd IEEE Global Communications Conference, GLOBECOM 2010 - Miami, United States
Duration: Dec 6 2010Dec 10 2010

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Conference

Conference53rd IEEE Global Communications Conference, GLOBECOM 2010
Country/TerritoryUnited States
CityMiami
Period12/6/1012/10/10

Keywords

  • Constellation rotation
  • Diversity product
  • Maximum-likelihood detection
  • Multi-input multi-output (MIMO) communications
  • Quadrature amplitude modulation
  • Quasi-orthogonal space-time block codes (QO-STBC)

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