Low complexity MIMO sonar imaging using a virtual sparse linear array

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    摘要 Amultiple-inputmultiple-output(MIMO)sonarcansynthesizealarge-aperturevirtualuniformlineararray(ULA)fromasmallnumberofphysicalelements.However,thelargeapertureisobtainedatthecostofagreatnumberofmatchedfilterswithmuchheavycomputationload.Toreducethecomputationload,aMIMOsonarimagingmethodusingavirtualsparselineararray(SLA)isproposed,whichcontainstheofflineandonlineprocessing.Intheofflineprocessing,thevirtualULAoftheMIMOsonaristhinnedtoavirtualSLAbythesimulatedannealingalgorithm,andmatchedfilterscorrespondingtoinactivevirtualelementsareremoved.Intheonlineprocessing,outputsofmatchedfilterscorrespondingtoactiveelementsarecollectedforfurthermultibeamprocessingandhence,thenumberofmatchedfiltersintheechoprocessingprocedureiseffectivelyreduced.Numericalsimulationsshowthattheproposedmethodcanreducethecomputationloadeffectivelywhileobtainingasimilarimagingperformanceasthetraditionalmethod.
    机构地区 不详
    出版日期 2016年02月12日(中国Betway体育网页登陆平台首次上网日期,不代表论文的发表时间)
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