OFDM系统中基于SNR估计的改进DFT信道估计算法-豆柴文库

您所在位置：网站首页 / OFDM系统中基于SNR估计的改进DFT信道估计算法.docx / 文档详情

在线预览结束，喜欢就下载吧，查找使用更方便

5 金币

下载文档

/ 2

下载提示

如果您无法下载资料，请参考说明：

1、部分资料下载需要金币，请确保您的账户上有足够的金币

2、已购买过的文档，再次下载不重复扣费

3、资料包下载后请先用软件解压，在使用对应软件打开

文本预览

OFDM系统中基于SNR估计的改进DFT信道估计算法
Title:EnhancedDFTChannelEstimationAlgorithmbasedonSNREstimationinOFDMSystems
Abstract:
OrthogonalFrequencyDivisionMultiplexing(OFDM)isapopularmodulationtechniqueusedinwirelesscommunicationsystemsduetoitshighdataratesandrobustnessagainstfrequency-selectivefadingchannels.AccuratechannelestimationiscrucialforachievingoptimalperformanceinOFDMsystems.Inthispaper,weproposeanenhancedDFTchannelestimationalgorithmbasedonSignal-to-NoiseRatio(SNR)estimation.ThealgorithmaimstoimprovetheaccuracyandrobustnessofchannelestimationinthepresenceofvaryingSNRconditions.
1.Introduction
OFDMisadigitalmodulationtechniquewidelyemployedinvariouswirelesscommunicationstandardssuchasWi-Fi,LTE,and5G.Itdividestheallocatedfrequencybandwidthintomultiplesubcarriers,andeachsubcarrierismodulatedusingdifferentdatasymbols.Theorthogonalityofsubcarriersallowsforsimpleandefficientdemodulationatthereceiver.However,OFDMsystemsaresusceptibletofrequency-selectivefadingchannels,whichcauseinter-symbolinterference(ISI)andinter-carrierinterference(ICI).Therefore,accuratechannelestimationisvitalforsuccessfuldemodulationanddecodinginOFDMsystems.
2.BasicsofDFT-basedChannelEstimation
TheDiscreteFourierTransform(DFT)iscommonlyusedforchannelestimationinOFDMsystems.Itexploitstheknowntrainingsymbolsinthepreambletoestimatethechannelresponse.TheDFT-basedchannelestimationalgorithmcomputestheDFTofthereceivedsignalsforeachsubcarrieranddividesthembytheknownpilotsymbolstoestimatethechannelfrequencyresponse.
3.LimitationsofDFT-basedChannelEstimation
AlthoughDFT-basedchannelestimationprovidesreasonableperformance,itsuffersfromseverallimitations.OneofthemainchallengesisthevaryingSNRconditionsthatcansignificantlydegradetheaccuracyofchannelestimation.InlowSNRscenarios,noisecandominatethereceivedsignals,leadingtoinaccuratechannelestimates.Therefore,itisessentialtoincorporateSNRestimationintothechannelestimationalgorithmtoreducetheimpactofnoise.
4.ProposedEnhancedDFTChannelEstimationAlgorithm
Inthispaper,wepr