基于擴(kuò)譜和壓縮感知的雷達(dá)目標(biāo)散射中心提取.pdf

1、南京航空航天大學(xué)碩士學(xué)位論文基于擴(kuò)譜和壓縮感知的雷達(dá)目標(biāo)散射中心提取姓名：葛琦申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：信號(hào)與信息處理指導(dǎo)教師：周建江201101南京航空航天大學(xué)碩士學(xué)位論文iiAbstractAsthepassivedetectiontechniquedevelopingvariousbroadbhighperfmancepassivedetectionsystemsbecomethethreatstoradartoday.Reduci

2、ngradarradiationpowerimprovingradarwavefmsuncertaintyintimedomainspatialdomainfrequencydomainareeffectivemethodstoimprovetheradarRF(RadioFrequency)stealthperfmance.BasedontherequirementofradarRFstealthinthispapertargetsc

3、atteringcenterextractionisresearchedflowpowerradarbasedonspreadspectrumsignalfrequencydomainintervaluncertaintyradiationwavefmbasedoncompressedsensing(CS)theyisstudiedtobeappliedinradartargetscatteringcentersextraction.F

4、irstthedevelopmentofradartargetscatteringcenterextractionisintroducedincludingthetypeofradartargetscatteringcentermathematicalmodelparametersextractionalgithmlowinterceptivesignalscatteredsignalcalculationmethod.Secondly

5、detaileddeionofthetheyalgithmsappliedinthispaperarepresentedincludingtwodimensionalsignalparameterestimationalgithmssuchastwodimensionalrotationalinvariancetechniques(2DESPRIT)twodimensionalmatrixenhancementmatrixpencilm

6、ethod(2DMEMP)twodimensionalmodifiedmatrixenhancementmatrixpencilmethod(2DMMEMP)pseudoromsequenceacteristicsconstructionmethodCStheysupptvectmachine(SVM)usedfpatternrecognition.Thenbasedonexponentialsumtargetscatteringcen

7、termodelnovelonedimensionaltwodimensionalspreadspectrumradartargetscatteringcentermodelsarepresentedrespectively.Inonedimensionalscatteringcentersextractionsimulationfastfouriertransfm(FFT)isusedtoestimatescatteringcente

8、rparameters.AccdingtotheexperimentalresultswhenSNRis10dBthespreadspectrumtargetscatteringwavefmscouldbeeffectivelyusedtoestimatethetargetscatteringcenterparametersbutthetargetscatteringwavefmswithoutspreadspectrumcouldno

9、textractanymeaningfulinfmation.IntwodimensionalscatteringcentersextractionsimulationFFT2DMEMPareadoptedtoestimatethescatteringcenterparameterstheexperimentalconclusionisthesameasinonedimensionalsimulation.FinallybasedonC

10、Stheynovelonedimensionaltargetrangeprofilereconstructionalgithmispresented.FrequencydomainintervaluncertaintyradiationwavefmisdesignedaccdingtotheCSromsamplingtheemconvexoptimizationisusedtoestimatedtargetscatteringcente

11、rparametersfromtheuncertaintyscatteringsignalthetargetrangeprofileisreconstructed.ThesimulationresultsshowthatwhenthetargetrangeprofileissparsertheCSbasedreconstructionresultswillbebetter.Atthesametimethesparsityoftheran

12、geprofilechangesacutelywhenthetargetazimuthchangeswhichmakethereconstructionmethod’sperfmancechangesaccdingly.AccdingtotheSVMtargetrecognitionsimulationresultsCSbasedrangeprofilereconstructionisonlysuitabletotargetidenti