水下彈性目標(biāo)的回波特性提取方法研究.pdf

1、東南大學(xué)碩士學(xué)位論文水下彈性目標(biāo)的回波特性提取方法研究姓名：丁瑞新申請(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：陳勵(lì)軍20080303ABSTItACTAbstractThisdissertationmainlydiscussedtheapplicationofhighorderspectraintheechoofunderwatertargetsFirst，introducedthehistoryandthecurrentsitua

2、tionofunderwatertargetsrecognitionresearchandtheuseofhighorderstatisticstheoreticalinscatteringechoofelasticobjectivesThensystematicallyintroducedthehighorderstatisticaltheoryincludingdefinitionandpropertyofonmulantanhig

3、horderspoGtra，summedupfeaturesandadvantagesofhighorderspectrainengineeringapplicationThepaperintroducedresonancescatteringtheoryofelastictargets，andthengiventhedifferencebetweenelastictargetsandnonelastictargetsFinallyth

4、epaperfocusedonthefeaturedextractionbasedOOhighorderstatisticsFirsttwosimpleclassificationparametersaredefinedbasedonsecondorderstatisticsandthirdorderstatisticsrespectivelyanddecidesforthepresenceorabsenceoftheelasticre

5、sponsefollowingthespecularresponseSecondlybecauseofhighorderspectrumismultidimensionalfunction，ifweusohighorderspectrumascharacteristicswillloadtocalculationoverload，SOweselectthephaseofradiallyintegratedbispectra(PRIB)a

6、scharacteristicsPRIBcanconverttwodimensionalbispeetrumfunctionintoonedimensionalfunctionPRIBalsoisnotsensitivetotheamplitudeofecho，itisimportanttoactualtargetclassificationTheprocessingresultsofbasintestingdataispresente

7、dandtheresultshowedthattheclassificationparametersbasedonbispoctrumarebiggerthanbasedonpowerspectrumabout5dBThereasonfbrthisisbecausebispoctrurnCallinhibitGaussiannoiseandusinghighorderstatisticsCanobtainmoreinformationt

8、hansccondorderstatisticstonongaussiansigtlalThenWeprocessthedatausingPRIB船characteristicsandtheresultsshowthateigenvaluesofelastictargetsisstableindifferentanglebuteigenvalueofnonelastictargetshavebigchangesindifferentan