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- W2362490230 abstract "In order to reduce the reliance of gyroless satellite attitude determination on satellite attitude dynamic model and initial attitude information,a predictive unscented Kalman filter(UKF) is presented.The Taylor series expansion approach in predictive filter is used to estimate the model uncertainty of the unknown satellite attitude dynamics.It is propagated into UKF to estimate satellite attitude.Instead of the quaternion,the generalized three-dimensional attitude representation is used as the dynamic state to maintain the quaternion normalization in the filter.The simulation results indicate that the presented filter can estimate the satellite attitude accurately even when the big model uncertainty of satellite attitude dynamics and initial attitude-error exist in the meantime." @default.
- W2362490230 created "2016-06-24" @default.
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- W2362490230 date "2011-01-01" @default.
- W2362490230 modified "2023-09-24" @default.
- W2362490230 title "Predictive Unscented Kalman Filter for Gyroless Satellite Attitude Determination" @default.
- W2362490230 hasPublicationYear "2011" @default.
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