一种应用于QAM信号的新型高速均衡器(英文)-豆柴文库

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一种应用于QAM信号的新型高速均衡器(英文)
Abstract:
Inmoderncommunicationsystems,QuadratureAmplitudeModulation(QAM)signalsarecommonlyemployedfortransmittinglargeamountsofdataoverlimitedbandwidthchannels.However,QAMsignalsarevulnerabletochannelimpairmentssuchasnoise,fading,anddistortion.Theseimpairmentsdegradethesignalqualityandresultinahighbiterrorrate,whichhindersthereliabletransmissionofdata.TomitigatetheseimpairmentsandimprovetheperformanceofQAMsignals,equalizersareemployed.Inthispaper,anewhigh-speedequalizeralgorithmforQAMsignalsisproposedthatoffersbetterperformanceintermsoferrorrate,convergencespeed,andcomputationalcomplexity.Theproposedequalizerutilizesanewlydevelopedadaptivefilteringtechniquethatsignificantlyreducesthecomplexityoftheequalizerwhileimprovingitsperformance.
Introduction:
Inmoderncommunicationsystems,QAMsignalsarecommonlyemployedfortransmittinglargeamountsofdataoverlimitedbandwidthchannels.QAMsignalsofferhighspectralefficiencyandarecapableoftransmittinglargeamountsofdataathighrates.However,QAMsignalsarehighlyvulnerabletochannelimpairmentssuchasnoise,fading,anddistortion.Theseimpairmentsdegradethesignalqualityandresultinahighbiterrorrate,whichhindersthereliabletransmissionofdata.
EqualizersareemployedtomitigatetheseimpairmentsandimprovetheperformanceofQAMsignals.Anequalizerisasystemthatisusedtocompensateforchanneldistortionsandrestoretheoriginalsignal.Equalizerscanbeclassifiedaslinearornonlinear,dependingonthetypeoffilteringtechniqueused.Linearequalizersarecommonlyemployedincommunicationsystemsduetotheirsimplicityandeaseofimplementation.LinearequalizersaretypicallybasedontraditionaldigitalsignalprocessingtechniquessuchasFiniteImpulseResponse(FIR)andInfiniteImpulseResponse(IIR)filters.
Inrecentyears,severalnewequalizationtechniqueshavebeenproposedforQAMsignals.ThesetechniquesincludeMinimumMeanSquareError(MMSE),DecisionFeedbackEqualization(DFE),andMaximumLikelihoodSequenceEstimation(MLSE).Thesetechniqueshavebeenshowntoofferbetterperformancethantraditionallinearequaliz