Low complexity MIMO sonar imaging using a virtual sparse linear array

(整期优先)网络出版时间:2016-02-12
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Amultiple-inputmultiple-output(MIMO)sonarcansynthesizealarge-aperturevirtualuniformlineararray(ULA)fromasmallnumberofphysicalelements.However,thelargeapertureisobtainedatthecostofagreatnumberofmatchedfilterswithmuchheavycomputationload.Toreducethecomputationload,aMIMOsonarimagingmethodusingavirtualsparselineararray(SLA)isproposed,whichcontainstheofflineandonlineprocessing.Intheofflineprocessing,thevirtualULAoftheMIMOsonaristhinnedtoavirtualSLAbythesimulatedannealingalgorithm,andmatchedfilterscorrespondingtoinactivevirtualelementsareremoved.Intheonlineprocessing,outputsofmatchedfilterscorrespondingtoactiveelementsarecollectedforfurthermultibeamprocessingandhence,thenumberofmatchedfiltersintheechoprocessingprocedureiseffectivelyreduced.Numericalsimulationsshowthattheproposedmethodcanreducethecomputationloadeffectivelywhileobtainingasimilarimagingperformanceasthetraditionalmethod.