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《盲信號(hào)處理及其在無源探測(cè)中的應(yīng)用研究》由會(huì)員上傳分享，免費(fèi)在線閱讀，更多相關(guān)內(nèi)容在學(xué)術(shù)論文-天天文庫。
1、東南大學(xué)博士學(xué)位論文盲信號(hào)處理及其在無源探測(cè)中的應(yīng)用研究姓名：黃高明申請(qǐng)學(xué)位級(jí)別：博士專業(yè)：信號(hào)與信息處理指導(dǎo)教師：楊綠溪20051001東南大學(xué)博士學(xué)位論文．并為其工程實(shí)現(xiàn)打下基礎(chǔ)。同時(shí)對(duì)基于互信息的五元十字陣聲探測(cè)器聲源定位技術(shù)進(jìn)行了研究。本文對(duì)盲信號(hào)處理的研究表明，開發(fā)基于盲信號(hào)處理的方法對(duì)于擴(kuò)大無源探測(cè)的信息獲取和提高其探測(cè)性能都具有極大的潛力和重要的意義。關(guān)鍵詞：盲信號(hào)處理，盲源分離，無源探測(cè)，雷達(dá)，電子戰(zhàn)，抗干擾，信號(hào)分選，·時(shí)差估計(jì)，測(cè)向，無源定位摘要AbstractInthisdissertation
2、，thetheoryandapplicationtechniquesofblindsignalprocessing(BSP)areinvestigateddeeplyandsystematicallyagainstthebackgroundofpassivedetection．BSPhasbecomeahotpotonsignalprocessingfieldinrecentyears．Ithasbeenappliedonaudiosignalprocessing，arraysignalprocessing，rada
3、rsignalprocessing，electronicwarfare(EW)signalprocessing，biomedicalsignalprocessingandcommunication，imageprocessingete．Passivedetectionhasmanyadvantagesofhighconcealmentandbetterperformanceofanti-jamming，ete．Thepositionofpassivedetectiononmodembattlefieldisveryd
4、istinct，whichmakesitgetincreasingattentionandinterest．ConcentratingontheadvancedtaskofBSP,thisdissertationanalyzedthebasictheoryframeofBSPcompletely,whichessentiallyindicatedthattheprincipleofBSPisconsistentwithmanyrequirementsofpassivedetectionalgorithms．Thene
5、wframeandapproachofpassivedetectionbasedonBSPwasestablished．ThisdissertationsystematicallyresearchedonBSPandtheapplicationonpassivedetection．Somesignificativeproductionwasobtained．Theworkofthisdissertationincludestwoparts：ThefirstpartisthebasictheoryofBSEThebas
6、icconceptandmodelofBSPwasstudiedinthisdissertation．Bythebasicprincipleofmultivariatestatistics，anewblindsourceseparation(BSS)criterionseparatelybasedoncanonicalcomponentanalysis(CCA)andgeneralizedvariance(GV)wasproposedinthisdissertation．ThisnewBSSalgorithmbase
7、donsecondstatisticscanacquiretheinformationofreceivingsignalabundantlyandsatisfytheinstantaneousrequirementofpassivedetectionsignalprocessing．TheinnercorrelationofreceivingsignalcanbemeasuredbyGVandtheouterbyCCA．ThisBSSalgorithmcanachievetheseparationofarbitrar
8、ydistributionsources，whichhasanenormouspotentialvalueofengineeringapplication．ThesecondpartstudiedtheapplicationofBSPbasedonthebackgroundofpassivedetectionrequirement，suchas
