简介:Signalsarriveoutofphaseattheintendedreceiverfromcollaborativebeamforming(CB)nodesduetotheinstabilityintheoutputfrequencysignalsoftheuniversalsoftwareradioperipheral’s(USRP)localoscillator(LO).Thesenodesincludingthetargetmustsynchronizetheiroscillatorfrequenciesforcoherentsignalreception.Inordertodothis,frequenciesandphasesofthesignalsshouldbeestimatedinsoftwaredefinedradio(SDR)andsmoothenwithnonlinearfilterssuchastheextendedKalmanfilter(EKF).TheprocessnoiseparametersoftheNIUSRP-2920nodeswillhavetobecalculatedandusedwiththeEKFprocessnoisecovariancematrix.Thesenodesaregreencommunicationhardwaredeviceswheremostofthehardwareunitsarenowsoftwaredefined.ThisarticleusesthedirectspectrummethodtoobtainthephasenoisevaluesatvariousfrequencyoffsetsoftheNIUSRP-2920inordertocalculatethepowerspectraldensityoffractionalfrequencyfluctuation.Byapplyingthepower-lawnoisemodeltothisobtainedvalue,thegeneratedwhitefrequencynoiseandrandomwalkfrequencynoisevaluesareq1=1.93×10-21andq2=5.86×10-18,respectively.
简介:Thispaperdealswithinternallygeneratednoiseofbioelectricamplifiersthatareusuallyusedforprocessingofbioelectricevents.Themainpurposeofthispaperistopresentaprocedureforanalysisoftheeffectsofinternalnoisegeneratedbytheactivecircuitsandtoevaluatetheoutputnoiseoftheauthor'snewdesignedbioelectricamplifierthatcausedbyinternaleffectstotheamplifiercircuititselfinordertocompareitwiththenoisegeneratedbyconventionalamplifiers.Theobtainedanalysisresultsofinternallygeneratednoiseshowedthatthetotaloutputnoiseofbioelectricactivecircuitsdoesnotincreasewhensomeoftheirresistorshavealargervalue.Thisbehavioriscausedbythedifferenttransferfunctionsforthesignalandtherespectivenoisesourcesassociatedwiththeseresistors.Moreover,thenewdesignedbioelectricamplifierhasanoutputnoiselessthanthatforconventionalamplifiers.Theobtainedanalysisresultswerealsoexperimentallyverifiedandthefinalconclusionsweredrawn.
简介:Basedonthewhiteningpropertyofwavelettransformationfor1/fnoise,thispaperaddressestheproblemofdetectingdeterministicsignalsinthepresenceof1/ffractalnoise.Thetransferfunctionofwhiteningfilterisprovidedaswellastheconditionforwhitening.ThereceiverstructurebasedonKarhunen-Loeveexpansionandthedecisionrulearealsogiven.Finallyperformanceofthedetectorisanalyzed.
简介:InterferogramnoisereductionisaveryimportantprocessingstepinInterferometricSyntheticApertureRadar(InSAR)technique.Themostdifficultyforthisstepistoremovethenoisesandpreservethefringessimultaneously.Tosolvethedilemma,anewinterferogramnoisereductionalgorithmbasedontheMaximumAPosteriori(MAP)estimateisintroducedinthispaper.ThealgorithmissolvedundertheTotalGeneralizedVariation(TGV)minimizationassumption,whichexploitsthephasecharacteristicsuptothesecondorderdifferentiation.Theidealnoise-freephaseconsistingofpiecewisesmoothareasisinvolvedinthisassumption,whichiscoincidentwiththenaturalterrain.Inordertoovercomethephasewraparoundeffect,complexplanefilterisutilizedinthisalgorithm.Thesimulationandrealdataexperimentsshowthealgorithmcanreducethenoiseseffectivelyandmeanwhilepreservetheinterferogramfringesverywell.
简介:Thekeyofthesubspace-basedDirectionOfArrival(DOA)estimationliesintheestimationofsignalsubspacewithhighquality.Inthecaseofuncorrelatedsignalswhilethesignalsaretemporallycorrelated,anovelapproachfortheestimationofDOAinunknowncorrelatednoisefieldsisproposedinthispaper.TheapproachisbasedonthebiorthogonalitybetweenamatrixanditsMoore-Penrosepseudoinverse,andmadenoassumptiononthespatialcovariancematrixofthenoise.Theapproachexploitsthestructuralinformationofasetofspatio-temporalcorrelationmatrices,anditcangivearobustandpreciseestimationofsignalsubspace,soapreciseestimationofDOAisobtained.Itsperformancesareconfirmedbycomputersimulationresults.
简介:Inradartargettrackingapplication,theobservationnoiseisusuallynon-Gaussian,whichisalsoreferredasglintnoise.Theperformancesofconventionaltrackersdegradeseverelyinthepresenceofglintnoise.Animprovedparticlefilter,MarkovchainMonteCarloparticlefilter(MCMC-PF),isappliedtocopewithradartargettrackingwhenthemeasurementsareperturbedbyglintnoise.Trackingperformanceofthefilterisdemonstratedinthepresentofglintnoisebycomputersimulation.
简介:激光阶段噪音(LPN)在光协调系统起一个重要作用。基于Viterbi-Viterbi搬运人阶段评价(用户终端设备)的算法,在协调接收装置上强加的LPN的效果为调音的照阶段移动(QPSK)被调查,调音的8阶段移动(8PSK)和16照振幅调整(16正交调幅)光协调系统分别地。模拟结果证明在阶段评价算法的最佳的块长度是在LPN和添加剂白人Gaussian噪音(AWGN)之间的折衷,并且取决于调整格式的水平。到在协调接收装置的数字变换器(模数转换器)的类似物的决定要求独立于LPN或调整格式的水平。为103的位错误率(BER),模数转换器的要求的位数字是6,并且获得为更高的分辨率是边缘的。
简介:Thecharacteristicsoflow-frequencyelectricalnoise,voltage-current(V-I)andelectricalderivationfor980nmInGaAsP/InGaAs/GaAshighpowerdoublequantumwelllasers(DQWLs)aremeasuredunderdifferentconditions.Thecorrelationofthelow-frequencyelectricalnoisewithsurfacenon-radiativecurrentofdevicesisdiscussed.Theresultsindicatethelow-frequencyelectricalnoiseof980nmDQWLswithhighpowerismainly1/fnoiseandhasgoodrelationwiththedevicesurfacecurrentatlowinjection.
简介:Insomeobjecttrackingsystems,themovingobjectfuturepositionisanarea(i.e.,targetarea).Itisasuccessfulestimationstrategyifthepredictedpointsfallinthetargetarea.Iftheobjectmakesasuddenmaneuvering,thepredictionmaygetoutofthetargetareaeasilywhichmaymakethetrackingsystemlosetheobject.Theaimistoinvestigatetheadmissiblemaximumobjectmaneuveringintensity,whichischaracterizedasmodelnoisevariance,forsuchkindoftrackingsystem.Firstly,theconceptofstochasticpassagecharacteristicsovertheboundaryoftargetareaandtheirrelationshipwithpredictionerrorvariancearedescribed.Secondly,theconsistencyamongtheindicesofregionalpole,predictionerrorvarianceandstochasticpassagecharacteristicsisanalyzed.Thirdly,themulti-indicesconstraintsarecharacterizedbyasetofbi-linearmatrixinequalities(BMIs).Then,theadmissiblemaximummodelnoisevarianceandthesatisfactoryestimationstrategyarepresentedbyiterativelysolvinglinearmatrixinequalities(LMIs)toapproximateBMIs.Finally,anumericalexampleisproposedtodemonstratetheobtainedresults.
简介:Inordertoimprovetheperformanceoflinespectrumdetection,accordingtothefeaturethattheunderwatertargetradiatednoisecontainingstablelinespectrum,thedifferencesofthephasedifferencebetweenlinespectrumandbackgroundnoise,aweightedlinespectrumdetectionalgorithmbasedonthephasevarianceisproposedinfrequencydomain.Afterphasedifferencealignment,thephasevarianceoflinespectrumandthephaseofbackgroundnoise,respectively,aresmallandbiginfrequencydomain,thismethodutilizestheweightedstatisticalalgorithmtocumulatethefrequencyspectrumbasedonthephasevariance,whichcanrestrainthebackgroundnoisedisturbance,andenhancethesignaltonoiseratio(SNR).Thetheoryanalysisandexperimentalresultsbothverifythattheproposedmethodcanwellenhancetheenergyoflinespectrum,restraintheenergyofbackgroundnoise,andhavebetterdetectionperformanceunderlowerSNR.
简介:Theproblemofoptimalcoherentdetectionoffrequency-shiftkeying(FSK)signalstransmittedoveranadditivecoloredGaussiannoisechannelwithimbalancegainsindifferentfrequencies(IGDF-ACGNchannel)isstudied.Thestructureoftheoptimalcoherentdetectorisderived.TheoreticalanalysisandcomputersimulationresultsshowthatthedetectorisoptimalineitheradditivecoloredGaussiannoiseenvironmentoradditivewhiteGaussiannoiseenvironment.
简介:联合测量系统的一个分布式的极化模式被设计并且实现了使用白轻interferometry。它能被用于极化模式在多达1km的high-birefringence纤维联合的测量。这个系统能在光纤的传感器和光纤维通讯中被使用。小浪变换在处理改进signal-noise-ratio的数据被采用。这个系统的signal-noise-ratio被改进在降噪以后的超过15dB。在signal-noise-ratio和测量精确性上降噪阀值的影响也被讨论。Hilbert变换和非线性的回归能与小浪变换一起被使用提高signal-noise-ratio和这个系统的空间分辨率。关键词小浪变换-降噪-极化CLCTN253-TP212.14这个工作被国家自然科学资金支持中国(号码60377031),中国(号码2003CB314907)的国家基本研究程序,和为大学里的新世纪优秀才能的程序。
简介:Anideaofestimatingthedirectsequencespreadspectrum(DSSS)signalpseudo-noise(PN)sequenceispresented.WithouttheapriorityknowledgeabouttheDSSSsignalinthenon-cooperationcondition,weproposeaself-organizingfeaturemap(SOFM)neuralnetworkalgorithmtodetectandidentifythePNsequence.Anon-supervisedlearningalgorithmisproposedaccordingtheKohonenruleinSOFM.TheblindalgorithmcanalsoestimatethePNsequenceinalowsignal-to-noise(SNR)andcomputersimulationdemonstratesthatthealgorithmiseffective.Comparedwiththetraditionalcorrelationalgorithmbasedonslip-correlation,theproposedalgorithm’sbiterrorrate(BER)andcomplexityarelower.
简介:Multi-ThresholdCMOS(MTCMOS)isaneffectivetechniqueforcontrollingleakagepowerwithlowdelayoverhead.HoweverthelargemagnitudeofgroundbouncingnoiseinducedbythesleeptoactivemodetransitionmaycausesignalintegrityprobleminMTCMOScircuits.Weproposeamethodologyforreducinggroundbouncingnoiseunderthewake-updelayconstraint.Animprovedtwo-stageparallelpowergatingstructurethatcansuppressthegroundbouncingnoisethroughturnonsetsofsleeptransistorsconsecutivelyisproposed.Thesizeofeachsleeptransistorisoptimizedbyanovelsizingalgorithmbasedonasimpledischargingmodel.Simulationresultsshowthattheproposedtechniquesachieveatleast23%improvementintheproductofthepeakamplitudeofgroundbouncingnoiseandthewake-uptimewhencomparedwithotherexistingtechniques.
简介:Anewnoisereductionmethodbasedonensembleempiricalmodedecomposition(EEMD)isproposedtoimprovethedetectioneffectforfluorescencespectra.Polycyclicaromatichydrocarbons(PAHs)pollutants,asakindofimportantcurrentenvironmentalpollutionsource,arehighlyoncogenic.Usingthefluorescencespectroscopymethod,thePAHspollutantscanbedetected.However,instrumentwillproducenoiseintheexperiment.Weakfluorescentsignalscanbeaffectedbynoise,soweproposeawaytodenoiseandimprovethedetectioneffect.Firstly,weusefluorescencespectrometertodetectPAHstoobtainfluorescencespectra.Subsequently,noisesarereducedbyEEMDalgorithm.Finally,theexperimentresultsshowtheproposedmethodisfeasible.
简介:Theanalyticalexpressionofbiterrorprobabilityinabalanceddifferentialphase-shiftkeying(DPSK)opticalreceiverconsideringnonlinearphasenoiseandEDFAASEnoiseisgiven,whichisveryusefultoestimatetheperformanceofDPSKbalancedandunbalancedreceiverinopticalcommunicationsystem.Throughanalysis,ifonlynonlinearphasenoiseisconsidered,boththebalanceandunbalancedreceivershavethesameperformances.ButifaddingtheASEnoiseofEDFA,thebalancedreceiverisbetter.
简介:Duetothedemandofdataprocessingforpolariceradarinourlaboratory,aCurveletThresholdingNeuralNetwork(TNN)noisereductionmethodisproposed,andanewthresholdfunctionwithinfinite-ordercontinuousderivativeisconstructed.ThemethodisbasedonTNNmodel.InthelearningprocessofTNN,thegradientdescentmethodisadoptedtosolvetheadaptiveoptimalthresholdsofdifferentscalesanddirectionsinCurveletdomain,andtoachieveanoptimalmeansquareerrorperformance.Inthispaper,thespecificimplementationstepsarepresented,andthesuperiorityofthismethodisverifiedbysimulation.Finally,theproposedmethodisusedtoprocesstheiceradardataobtainedduringthe28thChineseNationalAntarcticResearchExpeditionintheregionofZhongshanStation,Antarctica.Experimentalresultsshowthattheproposedmethodcanreducethenoiseeffectively,whilepreservingtheedgeoftheicelayers.