水下掩埋物回波檢測方法研究.pdf

1、東南大學碩士學位論文水下掩埋物回波檢測方法研究姓名：徐紅蘭申請學位級別：碩士專業(yè)：信號與信息處理指導教師：陳勵軍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