机载预警雷达波形优化设计方法-研究

机载预警雷达波形优化设计方法-研究

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时间:2019-01-29

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1、IIABSTRACTABSTRACTAirborneEarlyWarningRadarwillencounterwithdifferenttargetindifferentclutterenvironmental,theselectionofradarwaveformparameterlikepulserepetitionfrequency(PRF)andpulsewidthwoulddirectlyaffectradardetectionperformance.Inparticular,thepulserepetit

2、ionfrequencydeterminesclutter’ssuperimposinginfrequencydomainandtimedomainoftheradarreceiver.Thusitwillcauseblindzoneindistance-frequencydetectionspaceofpulseDopplerradar.Sohowtoselectareasonablevalueofthewaveformparameterofairborneradarissignificant.Forresolvin

3、gtheproblems,thisarticlesystematicdiscusseddetectionundertheinfluenceofPRF,andthemaximumdetectionareapercentagePRFdesignmethodshavealsobeengiven.Themaincontentsare:1.Putforwardakindofcollaborativeoptimizationmethodinthesystemlevelthatconstrainttheinteractionofth

4、ewaveformparametersandsystemparameters.ThemethodusingPRFasthemainobjectofoptimization,themaximumdetectableareapercentageastheoptimizationtarget,andthengetthewaveformparameteroptimization.2.ForexpeditingthecalculationofvaluedetectionareapercentageofdifferentPRFva

5、lues,onthebasisoftheanalysisofthepreciseantennacluttermodeling,proposedatwo-dimensionalpowerspectrumbasedonsimplifiedpatternfastcalculationmethod.Themainlobe,pitchdirectionsidelobeandresidualsidelobesaresimplifiedcalculatingthecontributionofclutterpowerinspace-f

6、requency,thengettheclutterpowerspectrumaftersimplification.3.Proposedtousegeneticalgorithm,nearbytheoptimumaveragefrequencyvalue,meetthestaggeredPRFgroupselectedconstraintconditions,lookingforM/NcriterionoptimalstaggerPRFgroupandthecorrespondingwaveformparameter

7、s.CalculationshowsthatthroughthismethodtogettheoptimalPRFgroupcomparedwiththeexistingPRFgroup,thedetectionareapercentageandomnidirectionaldetectionperformancehasbeensignificantlyimproved4.Thelastchapter,theeffectsofnearorfartopographyandtheantennasidelobelevelof

8、nearorfarzoneondetectionperformanceisanalyzedthroughsimulationandgettheguidelinesoftheusingoftheearlywarningaircraftandthesidelobeantennaIIIABSTRACTdesign.Keywords:Ai

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