2010InternationalConferenceonCommunicationsandMobileComputingPre-FilteringUltra-WidebandChannelEstimationBasedonCompressedSensingHuananYuShuxuGuo*Collegeofelectronicscienceandengineering,JilinUniversity,ChangchunChinaEmail:*guosx@jlu.edu.cn,yhn810117@163.comAbstractCS,A/DconvertersarenotworkingatNyquistratebutconstructingmeasurementmatrixviausinggeneralCompressedsensingorcompressedsampling(CS)evenrandomfunction.TheCScanexactlyrecoverhasbeenreceivingalotofinterestasapromisingsparsesequencesfromfewersamplesforcomparablemethodforsparsesignalrecoveryfromfewersensors,accuracy.AccordingtothesparsityoftheUWBwhilethecomplexityisnothigh.Becauseofthechannel,CScandramaticallyreducesamplingratesorsparsityoftheUltra-Wideband(UWB)channel,CSusesofA/Dconverters[7],[8],[9].CStheorywashasbeenusedtotheUWBchannelestimationtointroducedintoUWBsystemsin[7],designinganreducedemandsandcomplexityofhigh-speedanalog-efficientdetectorcalledGLRTcompresseddetector,to-digital(A/D)converters.Inthispaper,pre-filteringwhichisaprobabilitymodel.AlthoughthissystemmethodforUWBchannelestimationbasedonthedetectsUWBsignalsatlowersamplingrate,itrequirestheoryofCSisdeveloped.AnFIRfilterisadoptedatthepriorknowledgeofnoiseinthechannel.Arandomthetransmitter,sothatwegetameasurementmatrix,ameasurementchannelestimationmethodbasedonCSquasi-Toeplitzmatrix,leadingtoabetterforUWBcommunicationsystemswasproposed[9].reconstructionaccuracyofCS.Furthermore,thereisThechannelestimationresultswereappliedtoUWBnoneedtoaddameasurementmatrixelementinthesignalsdetection.Thisapproachacquiresgoodreceiver,whichmagnifiesthenoiseintheUWBperformanceofBERatlowersamplingrate.However,channel.Thatalsomakesthereceiversimplified.thereisapremisewiththehypothesisthatnoisehasExtensivesimulationsshowthattheproposedlittleornotimpactonUWBchannel.approachcansuccessfullysuppresstheadditivewhiteInthiscontextpre-filteringestimationforUWBGaussiannoise(AWGN).Finally,whentheUWBchannelbasedonthetheoryofCSisadvanced.AnFIRchann