1、東南大學(xué)碩士學(xué)位論文水下掩埋物回波檢測(cè)方法研究姓名：徐紅蘭申請(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20080303ABSlRACrABSTRACTDetectingobjectswithactivesonarisamainmethodinunderwaterobjectsdetection，especiallywhendetectingstaticsubmergedandbuffedobjectsHoweverinshal

2、lowwaterthehydroacousticenvironmentisverycomplex，duetonoise，especiallythestrongreverberation，makingthedetectionandidentificationoftargetmuchmoredifficultThispaperwhichaimedtostudythedetectionalgorithmofelasticobjectsburi

3、edintheseabeddidseveralresearchesrelatedtothistheme，obtainedsomeusefulresultsThispaperbeganwitlltheintroductionsofthetheoryandmethodofactivesonardetectioninthebackgroundofreverberation，anddiscussedseveralimportantissuesa

4、ssociated，namelyreverberation，beam—forming，matchedfilteringaswellastimefrequencyanalysisThetheoryofresonantscatteringofelasticshellsunderwaterwasstudiedandverifiedbyapplyingmatchedfilteringandtimefrequencyanalysisOBdatao

5、btainedfromthepoolexperimentThedetectionschemeofobjectssubmergedandburiedwasdesigned，includingseatrialandpooltestTheprinciplesofpre—whiteningmatchedfilteringwereintroducedonthebasisthatreverberationisalocalstationaryGans

6、sianprocessReverberationobtainedfromthe3eatrialwasaddedwithasimulatedsignalunderdifferentsignaltoreverberationratio，andprocessedbothunderclassicalmatchedfilteringandprewhiteningmatchedfiltering，Comparisonoftheresultsshow

7、sthatundercertainrangeofsignaltoreverberationratioprewhiteningmatchedfilteringcanserveasaneffectivedetectingmethodFinallythedetectionperformanceofprewhiteningmatchedfilteringwasanalyzedbasedontheexperimentdatafromtheseat

8、rial，andcomparedwiththeresultsobtainedbyclassicalmatchedfilteringConclusionwasachievedthatpre—whiteningmatchedfilteringisbetterthanclassicalmatchedfilteringKeywords：ReverberationARModelingPrewhiteningTimefrequencyAnalysi