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Achieving Cooperative Diversity with Multiple Frequency Offset Estimation

Nasir, Ali; Kennedy, Rodney; Durrani, Salman

Description

In cooperative communications, estimation and compensation of multiple carrier frequency offsets is an important implementation issue that needs to be addressed in practice. This paper proposes an efficient maximum likelihood estimator (MLE) using alternating projection technique, for the joint estimation of Rayleigh fading channels and multiple carrier frequency offsets (MCFO) in cooperative communication systems. Our proposed equalizer incorporates these channel and MCFO estimates and uses...[Show more]

dc.contributor.authorNasir, Ali
dc.contributor.authorKennedy, Rodney
dc.contributor.authorDurrani, Salman
dc.coverage.spatialHonolulu USA
dc.date.accessioned2015-12-10T23:13:29Z
dc.date.createdDecember 12-14 2011
dc.identifier.isbn9781457711800
dc.identifier.urihttp://hdl.handle.net/1885/64439
dc.description.abstractIn cooperative communications, estimation and compensation of multiple carrier frequency offsets is an important implementation issue that needs to be addressed in practice. This paper proposes an efficient maximum likelihood estimator (MLE) using alternating projection technique, for the joint estimation of Rayleigh fading channels and multiple carrier frequency offsets (MCFO) in cooperative communication systems. Our proposed equalizer incorporates these channel and MCFO estimates and uses matrix inverse technique to decode the transmitted symbols. Unlike existing schemes for equalizer design, the proposed design does not assume any perfect MCFO and/or channel estimate knowledge at the receiver or code redundancy or delay diversity and works for the full range (±0.5 cycles/sec) of the normalized frequency offsets. We present simulation results to illustrate that the Mean Square Error (MSE) of MCFO achieves the Cramér Rao Bound (CRB) above 7 dB signal-to-noise ratio (SNR) while the MSE of channel estimation achieves the CRB for all SNR values. In addition, the Bit Error Rate (BER) performance shows that our proposed equalizer can achieve the full spatial diversity gain of space-time block codes.
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherIEEE Communications Society
dc.relation.ispartofInternational Conference on Signal Processing and Communication Systems (ICSPCS 2011)
dc.sourceInternational Conference on Signal Processing and Communication Systems (ICSPCS 2011) proceedings
dc.subjectKeywords: Alternating projections; Bit error rate performance; Channel estimate; Co-operative diversity; Code redundancy; Delay diversity; Estimation and compensation; Joint estimation; Matrix inverse; Maximum likelihood estimator; Multiple carrier frequencies; Mul
dc.titleAchieving Cooperative Diversity with Multiple Frequency Offset Estimation
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor100510 - Wireless Communications
local.identifier.ariespublicationu4334215xPUB938
local.type.statusPublished Version
local.contributor.affiliationNasir, Ali, College of Engineering and Computer Science, ANU
local.contributor.affiliationDurrani, Salman, College of Engineering and Computer Science, ANU
local.contributor.affiliationKennedy, Rodney, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage1
local.bibliographicCitation.lastpage5
local.identifier.doi10.1109/ICSPCS.2011.6140820
local.identifier.absseo890103 - Mobile Data Networks and Services
dc.date.updated2016-02-24T11:04:32Z
local.identifier.scopusID2-s2.0-84857263378
CollectionsANU Research Publications

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