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- W2359820623 abstract "Because of the significant effect of constant bias on the navigation precision,it is necessary to calibrate the bias.According to the amount of computation in traditional extended dimension algorithm is huge,the two-stage unscented Kalman filter(TUKF) algorithm is used to estimate the state variants and bias respectively.In this way,the constant bias can be estimated accurately,and the navigation precision can be improved obviously.The simulation results of lunar satellite autonomous navigation system show that the proposed algorithm is effective." @default.
- W2359820623 created "2016-06-24" @default.
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- W2359820623 date "2011-01-01" @default.
- W2359820623 modified "2023-09-23" @default.
- W2359820623 title "The Filter Algorithm for Satellite Autonomous Navigation System Based on the Constant Bias" @default.
- W2359820623 hasPublicationYear "2011" @default.
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