学科分类
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9 个结果
  • 简介:为在期望的多搬运人信号隐藏的干扰,这份报纸建议新奇察觉和识别算法。算法不能仅仅由高顺序的cumulant检测单个搬运人的干扰(SCI),而且基于光谱特性发现多搬运人信号。而且,算法能区分SCI的调整类型。算法不取决于任何优先的知识并且帮助数据,它对实际应用慈悲。分析和模拟结果证明建议算法是有效的。

  • 标签: 多载波信号 识别算法 干扰检测 高阶累积量 载波干扰 频谱特性
  • 简介:Thedegradationdataofmulti-componentsinmissileisderivedbyperiodicaltesting.Howtousethesedatatoassessthestoragereliability(SR)ofthewholemissileisadifficultproblemincurrentresearch.AnSRassessmentmodelbasedoncompetitionfailureofmulti-componentsinmissileisproposed.Byanalyzingthemissilelifeprofileanditsstoragefailurefeature,thekeycomponentsinmissileareobtainedandthecharacteristicsvoltageisassumedtobeitskeyperformanceparameter.Whenthevoltagetestingdataofkeycomponentsinmissileareavailable,astatespacemodel(SSM)isappliedtoobtainthewholemissiledegradationstate,whichisdefinedasthemissiledegradationdegree(DD).AWienerprocesswiththetime-scalemodel(TSM)isappliedtobuildthedegradationfailuremodelwithindividualvariabilityandnonlinearity.TheWeibulldistributionandproportionalriskmodelareappliedtobuildanoutburstfailuremodelwithperformancedegradationeffect.Furthermore,acompetitionfailuremodelwiththecorrelationbetweendegradationfailureandoutburstfailureisproposed.Anumericalexamplewithasetofmissilesinstorageisanalyzedtodemonstratetheaccuracyandsuperiorityoftheproposedmodel.

  • 标签: COMPETITION FAILURE MODEL storage reliability (SR)
  • 简介:Analgorithmofhighlymaneuveringtargettrackingisproposedtosolvetheproblemoflargetrackingerrorcausedbystrongmaneuver.Inthisalgorithm,anewestimator,namedasmulti-parameterfusionSinger(MF-Singer)modelisderivedbasedontheSingermodelandthefuzzyreasoningmethodbyusingradialaccelerationandvelocityofthetarget,andappliedtotheproblemofmaneuveringtargettrackinginstrongmaneuveringenvironmentandoperatingenvironment.ThetrackingperformanceoftheMF-Singermodelisevaluatedandcomparedwithothermanueveringtrackingmodels.ItisshownthattheMF-Singermodeloutperformsthesealgorithmsinseveralexamples.

  • 标签: maneuvering target MULTI-PARAMETER FUSION SINGER (MF-Singer)
  • 简介:Inthispaper,weproposeadynamicmulti-descriptorfusion(DMDF)approachtoimprovingtheretrievalaccuracyof3-dimensional(3D)modelretrievalsystems.First,anindependentretrievallistisgeneratedbyusingeachindividualdescriptor.Second,weproposeanautomaticrelevant/irrelevantmodelsselection(ARMS)approachtoselectingtherelevantandirrelevant3Dmodelsautomaticallywithoutanyuserinteraction.Aweighteddistance,inwhichtheweightassociatedwitheachindividualdescriptorislearntbyusingtheselectedrelevantandirrelevantmodels,isusedtomeasurethesimilaritybetweentwo3Dmodels.Furthermore,adescriptor-dependentadaptivequerypointmovement(AQPM)approachisemployedtoupdateeveryfeaturevector.Thissetofnewfeaturevectorsisusedtoindex3Dmodelsinthenextsearchprocess.Four3DmodeldatabasesareusedtocomparetheretrievalaccuracyofourproposedDMDFapproachwithseveraldescriptorsaswellassomewell-knowninformationfusionmethods.ExperimentalresultshaveshownthatourproposedDMDFapproachprovidesapromisingretrievalresultandalwaysyieldsthebestretrievalaccuracy.

  • 标签: 三维模型检索 描述符 3D模型 信息融合方法 特征向量 多特征融合
  • 简介:Theanalog-to-informationconvertor(AIC)isasuccessfulpracticeofcompressivesensing(CS)theoryintheanalogsignalacquisition.Thispaperpresentsamulti-narrowbandsignalssamplingandreconstructionmodelbasedonAICandblocksparsity.Toovercomethepracticalproblems,theblocksparsityisdividedintouniformblockandnon-uniformblocksituations,andtheblockrestrictedisometrypropertyandsub-samplinglimitindifferentsituationsareanalyzedrespectivelyindetail.TheoreticalanalysisprovesthatusingtheblocksparsityinAICcanreducetherestrictedisometricconstant,increasethereconstructionprobabilityandreducethesub-samplingrate.Simulationresultsshowthattheproposedmodelcancompletesub-samplingandreconstructionformulti-narrowbandsignals.ThispaperextendstheapplicationrangeofAICfromthefiniteinformationratesignaltothemulti-narrowbandsignalsbyusingthepotentialrelevanceofsupportsets.Theproposedreceivingmodelhaslowcomplexityandiseasytoimplement,whichcanpromotetheapplicationofCStheoryintheradarreceivertoreducetheburdenofanalog-todigitalconvertor(ADC)andsolvebandwidthlimitationsofADC.

  • 标签: COMPRESSIVE sensing (CS) block SPARSITY analog-toinformation
  • 简介:由于嵌入的设备的限制尽最大努力以精力,处理力量,和记忆缩放的无线连接和资源和有损耗的网络(LLN)的unreliability,网络拥挤可以在一种紧急情况发生并且导致重要的包损失和端对端的延期。减轻网络拥挤的效果,这份报纸基于多度量标准(CCRPM)建议一个集中的拥挤控制路由协议。让候选人父母在网络建设的过程减少网络拥挤的概率联合一个节点,缓冲区占有率,无线连接质量,和亚节点的当前的数字的剩余精力。另外,当网络拥挤发生时,决定拥挤的节点的亚节点是否需要基于交通分析被交换采用一个集中的方法。理论分析和广泛的模拟结果证明与存在路由协议相比,CCRPM的性能在减少网络拥挤的概率显著地被改进,延长平均网络一生,增加网络产量,并且减少端对端的延期。

  • 标签: LLN 拥挤控制 多度量标准 集中的方法 路由协议
  • 简介:Asanimportantapplicationresearchtopicoftheintelligentaviationmulti-station,collaborativedetectingmustovercometheproblemofscoutingmeasurementwithstatusof“fragmentation”,andtheNP-hardnessproblemofmatchingassociationbetweentargetandmeasurementintheprocessofscoutingtodata-link,whichhascomplicatedtechnicalarchitectureofnetworkconstruction.Inthispaper,takingadvantageofcooperationmechanismonsignallevelintheaviationmulti-stationsympatheticnetwork,amethodofobtainingtargettimedifferenceofarrival(TDOA)measurementusingmulti-stationcollaborativedetectingbasedontime-frequencyassociationisproposed.Themethodcannotonlyachievematchingbetweentargetanditsmeasurement,butalsoobtainTDOAmeasurementbyfurtherevolutionarytransactionthroughrefreshingsequentialpulsetimeofarrival(TOA)measurementmatrixformatchingandcorrelating.SimulationresultsshowthattheaccuracyofTDOAmeasurementhassignificantsuperiorityoverTOA,anddetectionprobabilityoffalseTDOAmeasurementintroducedbynoiseandfakemeasurementcanbereducedeffectively.

  • 标签: data-link TIME-FREQUENCY correlation AVIATION multistation SYNERGISTIC
  • 简介:Hyper-spectralimagingspectrometerhashighspatialandspectralresolution.Itsradiometriccalibrationneedstheknowledgeofthesourcesusedwithhighspectralresolution.Inordertosatisfytherequirementofsource,anon-orbitradiometriccalibrationmethodisdesignedinthispaper.Thischainisbasedonthespectralinversionaccuracyofthecalibrationlightsource.Wecompilethegeneticalgorithmprogresswhichisusedtooptimizethechanneldesignofthetransferradiometerandconsiderthedegradationofthehalogenlamp,thusrealizingthehighaccuracyinversionofspectralcurveinthewholeworkingtime.Theexperimentalresultsshowtheaveragerootmeansquarederroris0.396%,themaximumrootmeansquarederroris0.448%,andtherelativeerrorsatallwavelengthsarewithin1%inthespectralrangefrom500nmto900nmduring100hoperatingtime.Thedesignlaysafoundationforthehighaccuracycalibrationofimagingspectrometer.

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  • 简介:Atunableself-seededmulti-wavelengthBrillouin-erbiumfiberlaser(BEFL)isproposedanddemonstratedbasedonafew-modefiberfilter(FMFF)withvaryingtemperature.TheFMFFconfigurationisasectionofuncoatedfew-modefiber(FMF)sandwichedbetweentwoup-tapers.Asthetemperaturevariesfrom25°Cto125°C,thetransmissionspectrumofFMFFmovestowardsthelongerwavelength.Theself-excitedBrillouinpumpisinternallyachievedbycascadedstimulatedBrillouinscattering(SBS)inthesinglemodefiber(SMF).ThenemployingtheFMFFtemperaturevariationcharacteristicsintheringcavityfiberlaser,themulti-wavelengthoftheoutputlasercanbetuned,andthetunablerangeisabout8.0nm.Thegenerationofupto15BrillouinStokeswavelengthswith16dBopticalsignal-to-noiseratio(OSNR)isrealized.

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