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一种新的守时型原子钟综合时间尺度方法研究
引用本文:姜萌.一种新的守时型原子钟综合时间尺度方法研究[J].天文学报,2024,65(1):10.
作者姓名:姜萌
作者单位:西安科技大学机械工程学院 西安 710054;西安工程大学电子信息学院 西安 710048;浙江伟盈智能科技股份有限公司 诸暨 311800
基金项目:陕西省自然科学基础研究计划资助项目(2022JQ-014)资助
摘    要:在这篇文章中, 提出了一种基于改进的指数平滑和Vondrak_Cepek联合平滑的氢铯综合时间尺度产生方法. 以最小误差方法为理论基础, 动态估计氢原子钟频率漂移参数, 提升氢原子钟钟差预测准确度; 基于改进的二次指数平滑产生氢原子钟组时间尺度、加权平均方法产生铯原子钟时间尺度, 同时设计Vondrak_Cepek滤波器以结合两类时间尺度长短期稳定度优势, 提升综合时间尺度性能. 实验结果表明, 所提方法产生的氢铯综合时间尺度时稳可达1.60x10-15,天稳可达3x10-15,优于ALGOS、AT1和Kalman滤波3种经典方法产生的时间 尺度性能.

关 键 词:时间尺度    钟差预测    动态估计    稳定度
收稿时间:2023/8/9 0:00:00

A New Method of Comprehensive Time Scale for Time-keeping Atomic Clock
JIANG Meng.A New Method of Comprehensive Time Scale for Time-keeping Atomic Clock[J].Acta Astronomica Sinica,2024,65(1):10.
Authors:JIANG Meng
Institution:College of Mechanical Engineering, Xián University of Science and Technology, Xián 710054;School of Electronics and Information, Xián Polytechnic University, Xián 710048;Zhejiang Weiying Intelligent Technology Company Limited, Zhuji 311800
Abstract:A comprehensive time scale calculation method for hydrogen maser and cesium atomic clock based on the improved exponential filtering and Vondrak_Cepek joint smoothing method is proposed. It is based on the minimum error method, which dynamically estimates the frequency drift parameters of the hydrogen maser and improves the accuracy of predicting the clock bias of the hydrogen atomic clock; With the method of improved quadratic exponential smoothing, the hydrogen masers time scale is generated, and the weighted average method is used to generate the cesium atomic clocks'' time scale. At the same time, the Vondrak_Cepek filter is designed to combine the long-term and short-term stability advantages of the two types of time scales to improve the comprehensive time scale performance. Experimental results show that the proposed method produces hydrogen cesium with a comprehensive time scale stability of up to 1.60 X10-15h-1, stable up to 3 x10-15 d-1, outperforming the time-scale performance generated by three classic methods: ALGOS, AT1, and Kalman filtering.
Keywords:time scale  clock difference prediction  dynamic estimation  stability
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