摘要
Formultisensorsystems,whenthemodelparametersandthenoisevariancesareunknown,theconsistentfusedestimatorsofthemodelparametersandnoisevariancesareobtained,basedonthesystemidentificationalgorithm,correlationmethodandleastsquaresfusioncriterion.SubstitutingtheseconsistentestimatorsintotheoptimalweightedmeasurementfusionKalmanfilter,aself-tuningweightedmeasurementfusionKalmanfilterispresented.Usingthedynamicerrorsystemanalysis(DESA)method,theconvergenceoftheself-tuningweightedmeasurementfusionKalmanfilterisproved,i.e.,theself-tuningKalmanfilterconvergestothecorrespondingoptimalKalmanfilterinarealization.Therefore,theself-tuningweightedmeasurementfusionKalmanfilterhasasymptoticglobaloptimality.Onesimulationexamplefora4-sensortargettrackingsystemverifiesitseffectiveness.
出版日期
2010年04月14日（中国期刊网平台首次上网日期，不代表论文的发表时间）
