Short-Term Observation Data Process of all in View Based on the Kalman Smoothing Algorithm

Hua Wei Bai; Yu Wen Wang; Jia Zhi Dong

doi:10.4028/www.scientific.net/AMM.563.185

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 563Short-Term Observation Data Process of all in View...

Short-Term Observation Data Process of all in View Based on the Kalman Smoothing Algorithm

Abstract:

All in view method is one of the important methods used for time synchronization, and it takes advantage of all the visible satellite time data for time synchronization at the same time. This paper analyzes all in view method and uses Kalman smoothing algorithm to deal with the observation data. This paper simulates the Kalman smoothing algorithm with the data from BIPM. The simulation comparison is made between Kalman smoothing algorithm and Vondrak smoothing algorithm, and the time-consuming comparison to deal with the same data is also been showed here. The simulation results show that, Kalman smoothing algorithm has almost the same accuracy of the Vondrak smoothing algorithm to deal with the observation data of all in view, but its time-consuming is shorter

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Periodical:

Applied Mechanics and Materials (Volume 563)

Pages:

185-188

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.563.185

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Online since:

May 2014

Authors:

Hua Wei Bai*, Yu Wen Wang, Jia Zhi Dong

Keywords:

All in View, Kalman Smoothing Algorithm, Short-Term Observation Data Process

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