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1、NoiseWhiteninginAirborneWindProfilingwithaPulsed2-MicronCoherentDopplerLidaratNASALangleyResearchCenter1*234JeffreyY.Beyon,GrantE.Arthur,GradyJ.Koch,andMichaelJ.Kavaya1NASALangleyResearchCenter,MS488,Hampton,VA23681,USA,Jeffrey.Y.Beyon@nasa.gov2ElectricalEngineeringDepartment,HardingU
2、niversity,Searcy,AR72149,USA,grantarthur5@gmail.com3NASALangleyResearchCenter,MS468,Hampton,VA23681,USA,Grady.J.Koch@nasa.gov4NASALangleyResearchCenter,MS468,Hampton,VA23681,USA,Michael.J.Kavaya@nasa.govABSTRACTTwodifferentnoisewhiteningmethodsinairbornewindprofilingwithapulsed2-micro
3、ncoherentDopplerlidarsystematNASALangleyResearchCenterinVirginiaarepresented.InordertoprovideaccuratewindparameterestimatesfromtheairbornelidardataacquiredduringtheNASAGenesisandRapidIntensificationProcesses(GRIP)campaignin2010,theadverseeffectsofbackgroundinstrumentnoisemustbecompens
4、atedproperlyintheearlystageofdataprocessing.TheresultsofthetwomethodsarepresentedusingselectedGRIPdataandcomparedwiththedropsondedataforverificationpurposes.Keywords:Noisewhitening,coherentlidar,GRIP,windprofile,DAWNAIR1.INTRODUCTIONThefundamentalconceptofwindprofilingbasedonlidarretu
5、rnsisDopplershift(DS)estimationinwindspeedanddirectionestimationusingmorethanonelineofsight(LOS)oflidarbeam[7].InDSestimation,itinvolvesthespectralanalysesoflidarreturnsusingfastFouriertransform(FFT).TheDSestimationiscloselyrelatedtothepeakdetectionprocessoflidarreturnspectra,whichare
6、corruptedbyvariouskindsofnoise,mosteminentlytheinstrumentnoise.Thispaperdiscussestheadverseimpactsofthebackgroundnoiseinpeakdetection,remediestocompensatethem,andsamplesoftheresultsofsuchcompensations.Aspartofsuchefforts,twonoisewhiteningmethodsarepresentedandtheirimpactsareshowninfin
7、alwindproducts.ThelidardatawereacquiredbytheDopplerAerosolWind(DAWN)AIRlidarinstrumentduringthesummerof2010aspartoftheNASAGenesisandRapidIntensificationProcess(GRIP)hurricanecampaign.Thegeneraloverviewofthedataacquisitionandprocessingsoftwareisalsopresentedinthispaper[1-2].2.AIRBORNEW
8、INDPR
