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ID:28182852
大小:386.21 KB
页数:20页
时间:2018-12-07
《基于lms算法的自适应组合滤波器-外文翻译》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、CombinedAdaptiveFilterwithLMS-BasedAlgorithmsAbstract:Acombinedadaptivefilterisproposed.ItconsistsofparallelLMS-basedadaptiveFIRfiltersandanalgorithmforchoosingthebetteramongthem.Asacriterionforcomparisonoftheconsideredalgorithmsintheproposedfilter,wetaketheratiobetweenbiasandvarianceof
2、theweightingcoefficients.Simulationsresultsconfirmtheadvantagesoftheproposedadaptivefilter.Keywords:Adaptivefilter,LMSalgorithm,Combinedalgorithm,Biasandvariancetrade-off1.IntroductionAdaptivefiltershavebeenappliedinsignalprocessingandcontrol,aswellasinmanypracticalproblems,[1,2].Perfor
3、manceofanadaptivefilterdependsmainlyonthealgorithmusedforupdatingthefilterweightingcoefficients.ThemostcommonlyusedadaptivesystemsarethosebasedontheLeastMeanSquare(LMS)adaptivealgorithmanditsmodifications(LMS-basedalgorithms).TheLMSissimpleforimplementationandrobustinanumberofapplicatio
4、ns[1-3].However,sinceitdoesnotalwaysconvergeinanacceptablemanner,therehavebeenmanyattemptstoimproveitsperformancebytheappropriatemodifications:signalgorithm(SA)[8],geometricmeanLMS(GLMS)[5],variablestep-sizeLMS(VSLMS)[6,7].EachoftheLMS-basedalgorithmshasatleastoneparameterthatshouldbede
5、finedpriortotheadaptationprocedure(stepforLMSandSA;stepandsmoothingcoefficientsforGLMS;variousparametersaffectingthestepforVSLMS).Theseparameterscruciallyinfluencethefilteroutputduringtwoadaptationphases:transientandsteadystate.Choiceoftheseparametersismostlybasedonsomekindoftrade-offbe
6、tweenthequalityofalgorithmperformanceinthementionedadaptationphases.WeproposeapossibleapproachfortheLMS-basedadaptivefilterperformanceimprovement.Namely,wemakeacombinationofseveralLMS-basedFIRfilterswithdifferentparameters,andprovidethecriterionforchoosingthemostsuitablealgorithmfordiff
7、erentadaptationphases.ThismethodmaybeappliedtoalltheLMS-basedalgorithms,althoughwehereconsideronlyseveralofthem.Thepaperisorganizedasfollows.AnoverviewoftheconsideredLMS-basedalgorithmsisgiveninSection2.Section3proposesthecriterionforevaluationandcombinationofadaptivealgorithms
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