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混合ACA和MLFMA方法计算复合目标电磁散射 Title:HybridizationofACAandMLFMAmethodsforthecomputationofcomplextargetelectromagneticscattering Abstract: Withtheincreasingcomplexityofelectromagneticscatteringproblems,itbecomesnecessarytodevelopmoreefficientandaccuratecomputationalmethods.Inthispaper,weproposeahybridapproachthatcombinestheAdaptiveCrossApproximation(ACA)andMultilevelFastMultipoleAlgorithm(MLFMA)methodstocomputetheelectromagneticscatteringfromcomplextargets.TheACAmethodisutilizedtoreducethecomputationalcomplexityoftheMLFMAmethodwhilemaintainingaccuracy.Theresultinghybridapproachofferssignificantadvantagesintermsofbothcomputationalefficiencyandaccuracyforelectromagneticscatteringproblems. 1.Introduction Electromagneticscatteringplaysacrucialroleinawiderangeofapplications,includingradarsystems,remotesensing,andwirelesscommunication.Asthecomplexityofscatterersincreases,traditionalnumericalmethodscanbecomecomputationallyprohibitive.TheACAandMLFMAmethodshavebeendevelopedasefficienttechniquesforsolvinglarge-scaleelectromagneticscatteringproblems.Inthispaper,weproposeahybridapproachthattakesadvantageofthestrengthsofbothmethodstoachieveaccurateandefficientcomputationsforcomplexscatterers. 2.AdaptiveCrossApproximation(ACA)method TheACAmethodisaneffectivetechniqueforreducingthecomputationaleffortinsolvinglarge-scalesystemsofequations.Itusesalow-rankapproximationtoachievecompactrepresentationoftheinteractionmatrix.Thisleadstoasignificantreductioninbothmemoryrequirementsandcomputationalcomplexity.Inthissection,weprovideanoverviewoftheACAmethodanditsapplicationinelectromagneticscatteringproblems. 3.MultilevelFastMultipoleAlgorithm(MLFMA) TheMLFMAisawell-knownmethodforsolvinglarge-scalescatteringproblems.Itexploitsthefar-fieldradiationpatternofscatterersandemploysahierarchicaltreestructuretoachievefastandaccuratecomputations.However,forhighlycomplexscatterers,theMLFMAcanstillsufferfromhighcomputationalcosts.Inthissection,wedescribetheMLFMAanditslimitationsinhandlingcomplexscatterers. 4.Hy

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