Waveform Design for MIMO Radars.pdf

Waveform Design for MIMO Radars.pdf

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时间:2019-03-10

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1、[7]Sirmans,D.,andUrell,B.TheflexibilityofusingamultiplicityofOnmeasuringWSR-88Dantennagainusingsolarflux.transmittedwaveforms,andofadaptivelyadjustingReport,EngineeringBranch,RadarOperationsCenter,thesewaveforms,offerssignificantperformanceNorman,OK,Jan.03,2001.ht

2、tp://www.roc.noaa.gov/eng/reports.asp.advantages.Fundamentally,theadditionaldegrees[8]Puhakka,P.V.S.offreedomaffordedbytheabilitytovarytheSolarcalibrationswithdualpolarizationweatherradar.transmitwaveformcanbeusedtooptimizeadesiredPresentedatthe32ndConferenceonRad

3、arMeteorology,performancecriterion.Forexample,thewaveformOct.24—29,2005,Albuquerque,NM,PaperP12R.8.canbeadaptedtothetargetsignaturetoenhance[9]Stutzman,W.L.,andThiele,G.A.AntennaTheoryandDesign.detectability,toincreaseclutterorinterferenceNewYork:Wiley,1998,320,Ta

4、ble7.1.rejection,ortoimproverobustnesstomultipath.[10]Brunkow,D.,etal.ToputtheseworksintoperspectivewenoteRadarequationasappliedinCHILLsignalprocessingthattheradardesignisdrivenbytheassumed(PDR2004).modelsofthetargetandtheinterference-plus-noisehttp://chill.colost

5、ate.edu/chilltechnical.html,June14,2004.environment.Targetsareoftenmodeledaspointscatterers.However,astheresolutionofradarsystemsincreases,abettermodelisthatofanextendedtargetWaveformDesignforMIMORadarswhichisspreadinrange,azimuth,andDoppler.Thetargetmodelcanbedet

6、erministicorstatistical:theformerassumesthatthetargetcharacteristicsarefixedandknown(possiblyuptosomeunknownparameterswhichcanbeestimated),whilethelatterWeconsidertheproblemofwaveformdesignformultipletreatsthetargetasarandomvariableandattemptstoinput/multipleoutpu

7、t(MIMO)radars,wherethetransmitcharacterizeitsstatistics.Similarly,differentmodelswaveformsareadjustedbasedontargetandclutterstatistics.canbeusedfortheinterferenceenvironment(clutter,Amodelfortheradarreturnswhichincorporatesthetransmitjamming,nearbytargets).wavefor

8、msisdeveloped.ThetargetdetectionproblemisTheworkonoptimumtransmit-receivedesigninformulatedforthatmodel.Optimalandsuboptimalalgorithms[1],[2],[3],forexa

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