Maximum likelihood detection and optimal code design for differential unitary space-time modulation with carrier frequency offset

Tao Cui*, Feifei Gao, Arumugam Nallanathan, Chintha Tellambura

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

In this paper, we answer the question that "Can conventional differential unitary space time modulation (DUSTM) be applied when there is an unknown carrier frequency offset (CFO)?" and present a maximum likelihood (ML) detection rule for this scenario. We analyze the asymptotical performance of our ML detection and provide the code design criterion by using the modified diversity product. The analysis also brings the insight that our proposed decision rule is a new differential modulation scheme in both temporal and spatial domains. Various simulations are conducted, and the proposed algorithm is shown to be more robust to the CFO drifting than the existing double temporal differential modulation.

Original languageEnglish
Title of host publicationGLOBECOM 2007: 2007 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-11
Place of PublicationNEW YORK
PublisherIEEE
Pages2811-2815
Number of pages5
ISBN (Print)978-1-4244-1042-2
Publication statusPublished - 2007
EventIEEE Global Telecommunications Conference (GLOBECOM 07) - Washington, United Kingdom
Duration: 26 Nov 200730 Nov 2007

Publication series

NameIEEE Global Telecommunications Conference (Globecom)
PublisherIEEE
ISSN (Print)1930-529X

Conference

ConferenceIEEE Global Telecommunications Conference (GLOBECOM 07)
Country/TerritoryUnited Kingdom
Period26/11/200730/11/2007

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