简介:basedonoptimaldesignonthecoreelementofthesensor,awirelessandpassivesurfaceacousticwave(SAW)temperaturesensorintegratedwithIDTagwaspresented.Areflectivedelayline,whichconsistsofatransducerandeightreflectorsonYZLiNbO3substrate.Wasfabricatedasthesensorelement,inwhich,threereflectorswereusedfortemperaturesensing,andtheotherfivewerefortheIDTagusingphaseencoding.Singlephaseunidirectionaltransducers(SPUDTs)andshortedgratingwereusedtostructurethesAWdevice,leadingtoexcellentsignaltonoiseratio(SNR).TheperformanceoftheSAWdevicewassimulatedbythecouplingofmodes(COM)priortofabrication.Usingthenetworkanalyzer,theresponseintimedomainofthefabricated434MHzSAWsensorwascharacterized,themeasuredS11agreeswellwiththesimulatedone,sharpreflectionpeaks,highsignal/noise,andlowspuriousnoisebetweenthereflectionpeakswereobserved.UsingtheradarsystembasedonFSCWasthereaderunit.thedevelopedSAWtemperaturesensorswereevaluatedwirelessly.Excellent1inearityandgoodresolutionof士1℃wereobserved.
简介:InordertosolvetheproblemofDOA(directionofarrival)estimationofunderwaterremotetargets,anovelsubspace-decompositionmethodbasedonthecrosscovariancematrixofthepressureandtheparticlevelocityofacousticvectorsensorarrays(AVSA)wasproposed.Whereafter,usingspatio-temporalvirtualtapped-delay-line,aneweigenvector-basedcriteriaofdetectionofnumberofsourcesandofsubspacepartitionisalsopresented.ThetheoreticalanalysisshowsthatthenewsourcedetectionanddirectionfindingmethodisdifferentfromexistingAVSAbasedDOAestimationmethodsusingparticlevelocityinformationofacousticvectorsensor(AVS)asanindependentarrayelement.Itisentirelybasedonthecombinedinformationprocessingofpressureandparticlevelocity,hasbetterestimationperformancethanexistingmethodsinisotropicnoisefield.Computersimulationswithdatafromlaketrialsdemonstrate,theproposedmethodiseffectiveandobviouslyoutperformsexistingmethodsinresolutionandaccuracyinthecaseoflowsignal-to-noiseratio(SNR).
简介:以便解决DOA(到达的方向)的问题评价在水下远宽带目标,一个新奇协调signal-subspace方法基于十字光谱压力的矩阵和用声学的向量传感器数组(AVSA)的粒子速度在这份报纸被建议。建议方法与在把声学的向量传感器(AVS)的粒子速度信息用作一个独立人士的基于的DOA评价方法穿的存在AVSA不同元素。也就是,它完全基于压力和粒子速度的联合信息处理P-V生气光谱,在各向同性的噪音比存在方法有更好的DOA评价性能地。由理论分析,基于P-V集中原则和eigendecomposition理论的两个交叉光谱矩阵是given.At一样的时间,为数字察觉也是的来源的相应标准有从湖试用的数据的presented.Computer模拟证明建议方法是有效的并且显然超过存在在分辨率的方法和在低Signal-to-Noise比率(SNR)的情况中的精确性。