蒙特卡洛分析讲课讲稿.ppt

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1、MonteCarlosimulation……forbetteryieldandperformance--AtutorialstartSystemrequirementStatisticalanalysisincludeprocess,mismatcheffectsInitialdesignDesignmeetsthegoal?endNOYESMonteCarlosimulation……forbetteryieldandperformanceSomedesignmaydegradeinperformanceOverallde

2、signyieldcouldbeunexpectedlylowIffabricationprocessparameteranddevicemismatcheffectonsamediearenottakenintoaccountthenHencestatisticalanalysismustfindahighplaceindesigncycleWewillperformMonteCarloanalysisonanRF-frontendLNAandcomparetheresultifnostatisticalanalysi

3、sisdone.WewillalsoseehowtoanalyzeyieldandscalardatainMonteCarlowiththehelpofLowpassfilterexample.MonteCarlosimulationMonteCarlosimulation(example)LinearityInputmatchingBiasN/WOutputmatchingCascodearch.toreducefeedbackcapacitanceRF-frontend(LNA)KnowingSystemrequire

4、mentInitialdesignbasedonrequirementlikenoise,gain,narroworwideband.MonteCarlosimulationCadencesimulationsetup(Normal)Choosingaffirmaanalogartist2.ChoosingSpectresimulatorChoosingmodelfile,whichcontainsallMOS,reg.,capmodelparameters.MonteCarlosimulation1.Choosesetu

5、pmodellibraries2.BrowseandchoosemodelfileinthedirectoryCadencesimulationsetup(Normal)Setupanalysis(dc,ac,spetc.),createnetlistandrunsimulatorMonteCarlosimulation1.Chooseanalysistorun2.Chooseoutputtoplot3.CreatenetlistandrunCadencesimulationsetup(Normal)Plottingre

6、sultsMonteCarlosimulation1.Choosedirectplotforanalysis2.Clicktoviewthedesiredresult3.AnalyzewaveformCadencesimulationsetup(Normal)MonteCarlomodelinginCadencespectresimulatorProcessSection-describesmanufacturingparameter,theirstatisticalvariationandamodelfordevicet

7、hatcalculatesits(width,length,cap,res.Etc.)accordingtoprocessparameter.Design-SpecificSection–designeraccordingtohisneedcanspecifyMonteCarloanalysis.Forexampleinacurrentmirrorcircuit,matchedtransistorsareusedanddesignercangivesomecorrelationfactorbetweenthesematch

8、edtransistor.MonteCarlosimulationCadencesimulationsetup(MonteCarlo)TypicalModelFileProcessSectionAllparametersetstotheirnominalvalue,nostatisticalvariat