S模式信号特征分析与识别方法研究

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1、电子科技大学硕士学位论文S模式信号特征分析与识别方法研究姓名：廖欣申请学位级别：硕士专业：信号与信息处理指导教师：唐斌20070501ABST弘cTABSTRACTTherecognitionofthepropertyofIdentificationFriendOrFoeistheextraordinarykernelandpivotalpoint．Notonlyinthedailymanagementofaviation,butalsointheaerialwarfare，ModeSsignalisthek

2、ey-pointtorealizethenormalairtrafficcontrol，theliaisoninwartimeandrecognitionofidentity．ItissignificantfornationaldefensetostudyrecognitionofModeSsignal．Duringtheresearchofsignalrecognitionmethod，featureanalysisandextractionisapivotaltechniqueinModerecognit

3、ionwhichinfluencestheprecisionofsignal’Srecognitiondirectly．ThedissertationstartedwithsignalformatofModeS，basedonfeatureanalysisandfeatureextraction,therecognitionmethodsofModeSsignalaredeeplyandwidelystudiedinthisdissertation．TherecognitionofModeSsignalisr

4、ealizedbythesimulationresult．Thisdissertationprimarilyinvestigatestheresearchoffeatureanalysisandrecognitionmethod．ThemainworkandachievementsofthedissertationCanbesummarizedasfollows：1．TheproducemechanismofModeSsignalandthecharacteristicofModeSbasebandsigIl

5、al’Sdataframeworkareanalyzed．SpecificforModeSinterrogatingsignalandModeSrequestsignal，thesignal盘amework'operationalprincipleofModeSsystem,operatingfrequencyandtypesofmodulation．2．SpecificforModeSsignal，thefeatureparametersinsignal'sTime·Domain(suchasinstant

6、aneousamplitude，instantaneousphaseandthestandarddeviationoftheabsolutevalueofthenon-linearcomponentoftheinstantaneousphase)，Frequency．Domain(suchasthevalueofthenormalizedcenteredinstantaneousamplitude)andTime-FrequencyTransformation-Domain(ShortTimeFourierT

7、ransform，Wigner-Villetime-frequencydistributionandWaveletTransform)areanalyzedandextracted．thenrealizationtherecognitionofModeSsignal谢mthefeatureparameterswhichhavesignificanceforsignalclassification．3．Basedontheextractedfeatureparameterswhichhavetheclassif

8、icationimportance，thestatisticfeatureparametersrecognitionmethod，theclassificationmethodbasedoncontinuouswavelettransform,thefuzzyrecognitionmethodbasedonIJABSTRAcrspectralcharacteristicsaleusedtoreali