Unscented extended Kalman filter for target tracking

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摘要 AnewmethodofunscentedextendedKalmanfilter(UEKF)fornonlinearsystemispresented.ThisnewmethodisacombinationoftheunscentedtransformationandtheextendedKalmanfilter(EKF).TheextendedKalmanfilterissimilartothatinaconventionalEKF.However,ineveryrunningstepoftheEKFtheunscentedtransformationisrunning,thedeterministicsampleiscaughtbyunscentedtransformation,thenposteriormeanofnonlinearityiscaughtbypropagating,buttheposteriorcovarianceofnonlinearityiscaughtbylinearizing.TheaccuracyofnewmethodisalittlebetterthanthatoftheunscentedKalmanfilter(UKF),however,thecomputationaltimeoftheUEKFismuchlessthanthatoftheUKF.
机构地区 不详
出版日期 2011年02月12日(中国期刊网平台首次上网日期,不代表论文的发表时间)
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