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- W2391119053 abstract "To improve the accuracy and robustness of attitude estimation in near space vehicle,an online noise covariance adaptive estimation based unscented Kalman filtering(UKF) approach is proposed by taking advantage of the combination of adaptive estimation and nonlinear filtering.The developed approach is based on the limited memory method for the proper computation of the noises covariance.After having deduced the proposed algorithm theoretically in detail,the approach is tested in the INS/Star-sensor integrated attitude determination system.Test results show that the proposed method outperforms the standard UKF with higher accuracy and robustness,and it has high precision of attitude about 10 arcsecond,so it can meet the demand of near space vehicle's attitude determination." @default.
- W2391119053 created "2016-06-24" @default.
- W2391119053 creator A5058742694 @default.
- W2391119053 date "2009-01-01" @default.
- W2391119053 modified "2023-09-23" @default.
- W2391119053 title "Attitude Determination Method for Near Space Vehicle Based on Adaptive Sampling Filters" @default.
- W2391119053 hasPublicationYear "2009" @default.
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