高距離分辨雷達(dá)目標(biāo)特征提取的參數(shù)化方法.pdf

1、鄭州大學(xué)碩士學(xué)位論文高距離分辨雷達(dá)目標(biāo)特征提取的參數(shù)化方法姓名：陳黎霞申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：通信與信息系統(tǒng)指導(dǎo)教師：裴炳南20050501鄭州大學(xué)碩上學(xué)位論文AbstractSomespecifictechniquesforATRbyahighrangeresolutionradarareresearchedinfeatureextraction，whicharepansofaproject一“SearchintoMethodforH

2、RRRadarTargetFeatureExtractionBasedonGeometricalTheoryofDiffraction’’supportedbyNationalScienceFoundationofChinaAtthebeginning，thethesismakesabriefintroductiontothedevelopmentofradartargetrecognitiontechnique，andfeaturee

3、xtractionisthepivotalpointThenthefollowtwochaptersstudyRelaxalgorithmandMatchingPursuitalgorithmTheparametersextractedbyRelaxalgorithmarecorrectanddependable，butthegeometricalinformationincludedinthehighrangeresolutionpr

4、ofilehasnotbeenutilizedbyRelaxalgorithmbecauseRelaxalgorithmisbasedonsimplescatteringcentersmodelMatchingPursuitalgorithmissimple，howeverthechoiceofovercompletedictionaryisverydifficult，andithasenormouscalculationduetoit

5、sgreedyiterativealgorithmSoinordertofullyutilizethegeometricalinformationincludedinthescatteringpoints，andtoavoidthedifficultyofthechoiceofbasisinMatchingPursuitalgorithm，thethesisputforwardanewmethodoffeatureextractionb

6、asedonGeometricalTheoryofDiffractionmodeltoextractthegeometricalparameterofthescatteringcentersexcepttheintensityandpositionparametersIntheend，simulationresultsoftheproposedalgorithmaregivenKeyWords：GTDmodel，Relaxalgorit