蒙特卡洛分析只是分享.ppt

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

2、nexpectedlylowIffabricationprocessparameteranddevicemismatcheffectonsamediearenottakenintoaccountthenHencestatisticalanalysismustfindahighplaceindesigncycleWewillperformMonteCarloanalysisonanRF-frontendLNAandcomparetheresultifnostatisticalanalysisisdone.Wewillalsoseehowtoanalyzey

3、ieldandscalardatainMonteCarlowiththehelpofLowpassfilterexample.MonteCarlosimulationMonteCarlosimulation(example)LinearityInputmatchingBiasN/WOutputmatchingCascodearch.toreducefeedbackcapacitanceRF-frontend(LNA)KnowingSystemrequirementInitialdesignbasedonrequirementlikenoise,gain,n

4、arroworwideband.MonteCarlosimulationCadencesimulationsetup(Normal)Choosingaffirmaanalogartist2.ChoosingSpectresimulatorChoosingmodelfile,whichcontainsallMOS,reg.,capmodelparameters.MonteCarlosimulation1.Choosesetupmodellibraries2.BrowseandchoosemodelfileinthedirectoryCadencesimul

5、ationsetup(Normal)Setupanalysis(dc,ac,spetc.),createnetlistandrunsimulatorMonteCarlosimulation1.Chooseanalysistorun2.Chooseoutputtoplot3.CreatenetlistandrunCadencesimulationsetup(Normal)PlottingresultsMonteCarlosimulation1.Choosedirectplotforanalysis2.Clicktoviewthedesiredresult3.

6、AnalyzewaveformCadencesimulationsetup(Normal)MonteCarlomodelinginCadencespectresimulatorProcessSection-describesmanufacturingparameter,theirstatisticalvariationandamodelfordevicethatcalculatesits(width,length,cap,res.Etc.)accordingtoprocessparameter.Design-SpecificSection–designer

7、accordingtohisneedcanspecifyMonteCarloanalysis.Forexampleinacurrentmirrorcircuit,matchedtransistorsareusedanddesignercangivesomecorrelationfactorbetweenthesematchedtransistor.MonteCarlosimulationCadencesimulationsetup(MonteCarlo)TypicalModelFileProcessSectionAllparametersetstothei

8、rnominalvalue,nostatisticalvariat