简介：SurfacePenetratingRadar(SPR)isarecentlydevelopedtechnologyfornon-destructivetesting.Itcanbeusedtoimageandinterprettheinnerstructureofthereinforcedconcrete.ThispapergivesthedetailsaboutacompactandhandheldSPRdevelopedrecentlyforreinforcedconcretestructuredetection.Thecenteroperationfrequencyoftheradaris1.6GHz.Notonlyithasfastacquisitionability,butalsoitcandisplaythetestingresultontheLCDscreeninreal-time.Thetestingresultsshowthattheradarhasapenetratingrangeofmorethan30cm,andalateralresolutionbetterthan5cm.Theperformancevalidatesthattheradarcanmeettheapplicationrequirementsforreinforcedconcretestructuredetection.

简介：Opportunisticarrayradar(OAR)isanewgenerationradarsystembasedonthestealthoftheplatform,whichcanimprovethemodernradarperformanceeffectively.Designingtheorthogonalcodesetswithlowautocorrelationandcross-correlationisakeyissueforOAR.Thispaperproposesanovelhybridgeneticalgorithm(HGA)anddesignsthepolyphaseorthogonalcodesetswithlowautocorrelationandcross-correlationproperties,whichcanbeusedintheOARsystem.Thenovelalgorithmcombineswithsimulatedannealing(SA)andgeneticalgorithm(GA),addsinkeepingbestindividualsandcompetitioninsmallscope,andintroducesgreycorrelationevaluationtoevaluatefitnessfunction.TheseavoidtheprematureconvergenceproblemexistedinGAandenhancetheglobalsearchingcapability.Atlast,thegeneticresultsareoptimizedtoobtainthebestsolutionbyusinggreedyalgorithm.ThesimulationresultsshowthattheproposedalgorithmiseffectiveforthedesignoforthogonalphasesignalsusedinOARsystems.

简介：Thispaperdiscussestheproblemofdirectionofdeparture(DOD)anddirectionofarrival(DOA)estimationforabistaticmultipleinputmultipleoutput(MIMO)radar,andproposesanimprovedreduced-dimensionCaponalgorithmtherein.Comparedwiththereduced-dimensionCaponalgorithmwhichrequirespairmatchingbetweenthetwo-dimensionalangleestimation,theproposedalgorithmcanobtainautomaticallypairedDODandDOAestimationwithoutdebasingtheperformanceofangleestimationinbistaticMIMOradar.Furthermore,theproposedalgorithmhasalowercomplexitythanthereduced-dimensionCaponalgorithm,anditissuitablefornon-uniformlineararrays.ThecomplexityoftheproposedalgorithmisanalyzedandtheCramer-Raobound(CRB)isalsoderived.Simulationresultsverifytheusefulnessoftheproposedalgorithm.

简介：Usingultrashort-pulseradarwithcompactvivaldiantennas,thesimulationexperimentofbreastcancerdetectionhasbeenperformedinasyntheticbreastphantom.Twometallicballswith9mmand6mmindiameterareusedastumorsinourexperiment.Theimagereconstructionsofthebreastmodelswithtumorsusingreflectiondatahavebeenpresentedbyaconfocalmicrowaveimagingtechnique.Themethodcanbeusedforapulsecompressiontechniquetoreflectedwavesforclearimageformation.

简介：Duetothedemandofdataprocessingforpolariceradarinourlaboratory,aCurveletThresholdingNeuralNetwork(TNN)noisereductionmethodisproposed,andanewthresholdfunctionwithinfinite-ordercontinuousderivativeisconstructed.ThemethodisbasedonTNNmodel.InthelearningprocessofTNN,thegradientdescentmethodisadoptedtosolvetheadaptiveoptimalthresholdsofdifferentscalesanddirectionsinCurveletdomain,andtoachieveanoptimalmeansquareerrorperformance.Inthispaper,thespecificimplementationstepsarepresented,andthesuperiorityofthismethodisverifiedbysimulation.Finally,theproposedmethodisusedtoprocesstheiceradardataobtainedduringthe28thChineseNationalAntarcticResearchExpeditionintheregionofZhongshanStation,Antarctica.Experimentalresultsshowthattheproposedmethodcanreducethenoiseeffectively,whilepreservingtheedgeoftheicelayers.