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Analysis of Optimal Conditions for Two-stage Kalman Estimator
作者姓名:周露  吴瑶华  黄文虎  闻新
作者单位:Dept. of Astronautics and Mechanics,Harbin Institute of Technology,Harbin,150001,China
摘    要:The optimal conditions for two-stage Kalman estimator with random bias of anARMA model is considered in this paper.First,the optimal augmented state Kalman fil-ter and the two-stage Kalman estimator are given.Second,under an algebraic constraint,the equivalence between the two-stage Kalman estimator and the optimal augmented stateKalman filter is proved.Finally,because the given algebraic constraint are restrictive inpractice,the results thus obtained implies that two-stage Kalman estimator is suboptimal.


Analysis of Optimal Conditions for Two-stage Kalman Estimator
ZHOU Lu,WU Yaohua,HUANG Wenhu,WEN Xin.Analysis of Optimal Conditions for Two-stage Kalman Estimator[J].Journal of Harbin Institute of Technology,1997(3).
Authors:ZHOU Lu  WU Yaohua  HUANG Wenhu  WEN Xin
Abstract:The optimal conditions for two-stage Kalman estimator with random bias of an ARMA model is considered in this paper. First, the optimal augmented state Kalman filter and the two-stage Kalman estimator are given. Second, under an algebraic constraint, the equivalence between the two-stage Kalman estimator and the optimal augmented state Kalman filter is proved. Finally, because the given algebraic constraint are restrictive in practice, the results thus obtained implies that two-stage Kalman estimator is suboptimal.
Keywords:Kalman filter  estimator of state  optimal filtering  two-stage kalman estimator  ARM A model  random bias
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