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- W3179963397 abstract "It has a good outlier detection effect and satellite clock error prediction accuracy based on the time series model to eliminate the influence of AO (Additive Outlier) and carry out the satellite clock error prediction. However, there are difference, inverse difference and model order determination operations when a time series model is used. In this paper, the AR model with trend item is combined with the EM algorithm, and an algorithm for AO detection and satellite clock error prediction are proposed to avoid difference, inverse difference and model order determination operations. When the AO in the clock error is successfully detected, the algorithm can obtain an accurate AR model with trend item, and then fit the growth or decline trend of the satellite clock error accurately. The algorithm also has good satellite clock error prediction accuracy. Finally, using the measured data of the BDS satellite clock error to calculate and analyze, the results verify the correctness and effectiveness of the algorithm." @default.
- W3179963397 created "2021-07-19" @default.
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- W3179963397 date "2021-01-01" @default.
- W3179963397 modified "2023-09-26" @default.
- W3179963397 title "The AR Model with Trend Item and the Corresponding Algorithm of AO Detection and Satellite Clock Error Prediction" @default.
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- W3179963397 doi "https://doi.org/10.1007/978-981-16-3138-2_54" @default.
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