Toovercomethedrawbackthatthediversityorderofthetraditionallinear MMSEdetection algorithmdecreaseswiththeincreaseofthecorrelationcoefficient,alattice-reduction-aidedMMSE(LRAMMSE) detectionalgorithmisproposedforspatialcorrelatedMIMOchannels.TheLRA-MMSEdetection algorithmconsiderstheeffectofspatialcorrelationinthealgorithm designandtakesadvantageofthe complexLenstra-Lenstra-Lovász(LLL)algorithmsothatitsBER(biterrorrate)isseveralordersof magnitudesmallerthanthatofthetraditionallinearMMSEdetectionatahighSNR(signaltonoiseratio). Theoreticalanalysisandsimulationresultsshowthatwith QPSK modulationandthe MMSEchannel estimatoratthereceiver,theuncodedBERoftheLRA-MMSEdetectorislowerthanthatofthetraditional linearMMSEdetectorifthebitSNR(Eb/N0)isgreaterthan18dB,whilethecodedBERoftheLRAMMSEdetectorislowerthanthatofthetraditionallinearMMSEdetectorifEb/ N0isgreaterthan16dB when(2,1,3)convolutionalchannelcodingandViterbidecodingareadoptedundertheKroneckercorrelated flatfadingchannel.Furthermo

Lattice-reduction-aideddetection.pdf

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