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基于microblaze及fpga_ip核的16点fft的设计.docx

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基于microblaze及fpga_ip核的16点fft的设计 Introduction FastFourierTransformation(FFT)isawidelyusedmathematicaltechniqueinsignalprocessingapplications.Itisanefficientalgorithmtoconvertatime-domainsignalintoitsfrequency-domainrepresentation.MicroblazeandFPGAIPcorearecriticalcomponentsofdigitalsignalprocessingsystems.Thispaperpresentsadesignofa16-pointFFTusingMicroblazeandFPGAIPcore. Overview Theproposed16-pointFFTdesignisimplementedusingMicroblazeandFPGAIPcore.TheXilinxISEdesignsuiteisusedtoimplementandtestthedesign.Thedesignusesthefixed-pointarithmeticrepresentationtoperformtheFFTcomputation.TheIntegerFastFourierTransform(IFFT)algorithmisusedtocalculate16-pointFFT.ThedesignisverifiedusingMatlabandtestedusingModelSim. DesignMethodology The16-pointFFTdesignisdividedintodifferentmodulestosimplifythedesignprocess.Microblazeisusedasacontrollertomanagetheentiresystem.TheinputandoutputsamplesoftheFFTarestoredintheBlockRAM.TheFPGAIPcorehigh-performancemultiplierisusedtoperformthecomplexmultiplicationsoftheFFTcomputations. ThecalculationoftheFFTisperformedbydividingtheinputsignalintooddandevensamples.Theevensamplesareusedforthecomputationofthelowerhalfofthespectrum,whiletheoddsamplesareusedforthecomputationoftheupperhalf.ThetwiddlefactorsareusedtocalculatetheFFTcoefficients,andtheyarestoredintheROM. Thefixed-pointarithmeticrepresentationisusedtorepresenttheinput,twiddlefactors,andoutput.Thenumberoffractionalbitsissetto13toimprovetheaccuracyoftheFFTcomputation.Theperformanceofthedesignislimitedbythespeedofthemultiplier.TheXilinxIPcoreisusedtodesignahigh-performancemultiplierthatcanperformthecomplexmultiplicationquickly. VerificationandTesting TheproposeddesignistestedusingMatlabandModelSim.TheresultsobtainedfromtheMatlabsimulationarecomparedwiththeresultsobtainedfromtheproposeddesign.Thedesignisverifiedbycomparingtheoutputofthedesignwiththeexpectedoutput. ThedesignistestedusingModelSim,andthewaveformsoftheinputandoutputsignalsareanalyzed.Theresultsofthesimulationarecomparedwiththeexpect