水下高速航行体辐射噪声检测与特征提取技术

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1、r●j_．waterentrysound，navigatingsignalandhomingsignal，andtheresultsareclosertotherealsignals．Basedontheshorttermenergydetector,thePowerLawdetectorandthePageTestdetectorusedinunderwatertransientsignaldetection，proposetheWP-STED，theWP-PowerLawdetectorandthe

2、WP-PageTestdetector．Withthewaveletpacketanalysis，theSNRoftheinputsignalcouldbeimprovedandthenutilizedthosedetectors．Simulationsaregiven，andtheperformanceofthosemethodsCallbesuperiortothosetraditionaldetectors．Totheentrysoundandthelaunchtubecoveringsignal

3、，thedetectionresultsprovethevalidofthosealgorithm．Studyonthefeatureextractiontechniquesofradiatednoisefromthehighspeedunderwatervehicle．Combinedthetime—frequencyanalysismethodwithimageprocessing,utilizetheSTFT-RTapproachforfeatureextractionofunderwatermo

4、vingtarget’Sradiatednoise．BasedonincreasingtheSNRoftimefrequencyimage，theRadontransformisappliedtoreducethefeaturedimension．Thenthecharacteristicsoffrequencyvariationonvariable—speednavigationandbladefrequencyonstationarynavigationcouldbecalculatedautoma

5、tically．IntroducetheDEMONspectrumanalysismethodandtheadaptivelineenhancementdevice，andgetthepropellershaftfrequencyandharmonic矗equencyofnavigatingsignal．Referencetheregiongrowingimageprocessingtechnology，searchalongthetimeaxisofthetime—frequencyspectrum，

6、toachievespectrallinetrackingofnavigating哈尔滨T稗大学硕十学位论文radiatednoise．Simulationsverifytheeffectivenessofthosealgorithms，avarietyofsignalfeaturesextractedfromtheactualdataareconducivetoclassificationandidentification．Thisstudyaimsatoverallunderstandingande

7、xtractingthehighspeedunderwatervehicleradiatednoisefeature，inordertoprovidesupportforimprovingsonarperformanceofthealarmandidentification．Keywords：Hi【ghspeedunderwatervehide；WP-PowerLawdetector；WP·PageTestdetector；STFT-RTalgorithm；Spectrallinetracking；Tr

8、ansientsignal；Variable。speednavigatingsignal；Featureextraction水下高速航行体辐射噪声检测及特征提取技术目录第1章绪论⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯11．1论文背景及意义⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯11．2水下高速航行体辐射噪声检测与特征提取技术⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯11．2．1水下高速航行体瞬态信号检测技术⋯⋯⋯⋯⋯