【摘 要】
：
GNSS compatibility and interoperability is one of the most significant problems in multi-system navigation and position.The precise prediction of system time offset is one of the most important proble
【机 构】
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National Time Service Center, the Chinese Academy of Sciences, Lintong, Shaanxi, China;Key Laborator
论文部分内容阅读
GNSS compatibility and interoperability is one of the most significant problems in multi-system navigation and position.The precise prediction of system time offset is one of the most important problems for application of GNSS compatibility and interoperability.To increase the prediction precision of system time offset and meet the requirement of multi-system users,this essay studies the prediction algorithm of system time offset.Firstly,based on research on the prediction principle of End-point (EP) and Kalman filter,the feature of GNSS system time offset is analyzed.And then,the initial values of Kalman filter parameters are determined,to reduce the uncertainty and error caused by it.In addition,the real-time measurement data is provided by a platform that monitors GNSS system time offset at National Time Service Center (NTSC).It verifies the applicability of two methods to predict the system time offset and compares the precision of EP and Kalman filter.The result shows that for any types data of system time offset,when real-time precision prediction is required,kalman filter provide higher precision and will be influenced less significantly by other factors: For GPS data,precision is about 1ns and for GLONASS data,it is 2ns.It is 0.5 times higher than that of EP.In other cases,EP is more precise.
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