简介:SupportVectorMachine(SVM)isapowerfulmethodologyforsolvingproblemsinnon-linearclassification,functionestimationanddensityestimation,whichhasalsoledtomanyotherrecentdevelopmentsinkernelbasedmethodsingeneral.Thispaperpresentsahighaccuracyandfault-tolerantSVMforthemobilegeo-locationproblem,whichisanimportantcomponentofpervasivecomputing.Simulationresultsshowitsbasiclocationperformance,andillustrateimpactsofthenumberoftrainingsamplesandtrainingareaontestlocationerror.
简介:Forasyntheticapertureradar(SAR)systemmountedonageostationaryEarthorbit(GEO)satellite,thetrackcanbecurvilinear.Thus,abistaticSARsystembasedupongeostationarytransmitterand'receive-only'SARsystemonboardairplanes,namelyGEOspaceborne-airbornebistatic(GEOSA-BiSAR),issignificantlydifferentfromthetraditionalbistaticSAR.ThispapermainlystudiestheresolutioncharacteristicoftheslidingspotlightGEOSA-BiSARsystem.Firstly,thecommonazimuthcoverageandcoherentaccumulatedtimearetheoreticallyanalyzedindetail.Then,basedonthegradientmethod,theaccuratetwodimensionalresolutionofaGEOSA-BiSARsystemisanalyticallycalculated.Finally,thesimulationdatashowthecorrectnessandeffectivenessoftheproposedresolutionanalysismethod.
简介:Underwatersensornetwork(UWSN)adoptsacousticcommunicationwithmoreenergy-consumptionandlongerpropagation-delay,whichbringgreatchallengestoprotocoldesign.Inthispaper,weproposedlevel-basedadaptivegeo-routing(LB-AGR)protocol.LB-AGRdividestrafficsintofourcategories,androutesdifferenttypesoftrafficinaccordancewithdifferentdecisions.Packetsupstreamtothesinkareforwardedunicasttothebestnext-hopinsteadofbroadcastingtoallneighbornodesasinpresentUWSNroutingprotocols.LB-AGRdefinesanintegratedforwardingfactorforeachcandidatenodebasedonavailableenergy,density,location,andlevel-differencebetweenneighbornodes,whichisusedtodeterminethebestnext-hopamongmultiplequalifiedcandidates.Throughsimulationexperiments,weshowthepromisingperformanceofLB-AGR.