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• W2045481163 endingPage "246" @default.
• W2045481163 startingPage "238" @default.
• W2045481163 abstract "In this paper, a modified unscented Kalman filter (UKF) for nonlinear stochastic systems is proposed, and it is applied to autonomous orbit determination for Earth satellites. Based on some standard results about the boundedness of stochastic processes and a new formulation of the unscented transformation (UT), it is demonstrated that the design of the noise covariance matrix plays an important role in enhancing the filter stability. Furthermore, a particular design of the noise covariance matrix is proposed as a modification of the UKF. The modified UKF is less sensitive to the initial error than the usual one. High performance of the modified UKF is illustrated in comparison with the usual one by using the real data obtained from an Earth sensor." @default.
• W2045481163 created "2016-06-24" @default.
• W2045481163 creator A5017843873 @default.
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• W2045481163 date "2009-06-01" @default.
• W2045481163 modified "2023-10-17" @default.
• W2045481163 title "Modified unscented Kalman filtering and its application in autonomous satellite navigation" @default.
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• W2045481163 doi "https://doi.org/10.1016/j.ast.2009.04.001" @default.
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