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基于抗差估计方法的原子钟模型参数求解 被引量:1
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作者 蔺玉亭 韩春好 王晓芳 《计量学报》 CSCD 北大核心 2009年第5期473-476,共4页
引入参数求解的抗差估计方法,给出了原子钟模型参数详细计算方法.计算结果表明,抗差估计方法通过构造等价权函数能够克服粗差等异常观测数据的影响,得到更为可靠的模型参数解.
关键词 计量学 原子钟 抗差估计 最小二乘 粗差
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A step to the decentralized real-time timekeeping network
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作者 王芳敏 陈雨锋 +4 位作者 周建华 蔺玉亭 杨军 王波 王力军 《Chinese Physics B》 SCIE EI CAS CSCD 2024年第1期183-191,共9页
The composite time scale(CTS) provides an accurate and stable time-frequency reference for modern science and technology. Conventional CTS always features a centralized network topology, which means that the CTS is ac... The composite time scale(CTS) provides an accurate and stable time-frequency reference for modern science and technology. Conventional CTS always features a centralized network topology, which means that the CTS is accompanied by a local master clock. This largely restricts the stability and reliability of the CTS. We simulate the restriction and analyze the influence of the master clock on the CTS. It proves that the CTS's long-term stability is also positively related to that of the master clock, until the region dominated by the frequency drift of the H-maser(averaging time longer than ~10~5s).Aiming at this restriction, a real-time clock network is utilized. Based on the network, a real-time CTS referenced by a stable remote master clock is achieved. The experiment comparing two real-time CTSs referenced by a local and a remote master clock respectively reveals that under open-loop steering, the stability of the CTS is improved by referencing to a remote and more stable master clock instead of a local and less stable master clock. In this way, with the help of the proposed scheme, the CTS can be referenced to the most stable master clock within the network in real time, no matter whether it is local or remote, making democratic polycentric timekeeping possible. 展开更多
关键词 frequency synchronization network composite time scale frequency stability democratic timekeeping
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附加周期和神经网络补偿的实时钟差预报模型 被引量:21
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作者 黄观文 崔博斌 +3 位作者 张勤 付文举 李平力 蔺玉亭 《宇航学报》 EI CAS CSCD 北大核心 2018年第1期83-88,共6页
考虑到多项式模型拟合残差中仍存在显著周期信号及其他系统误差影响,提出构建一种多项式结合周期项与BP神经网络的北斗(BDS)超快速钟差预报模型,并利用实测超快速钟差数据进行算法测试验证。数值算例结果显示:利用本文模型得到的北斗超... 考虑到多项式模型拟合残差中仍存在显著周期信号及其他系统误差影响,提出构建一种多项式结合周期项与BP神经网络的北斗(BDS)超快速钟差预报模型,并利用实测超快速钟差数据进行算法测试验证。数值算例结果显示:利用本文模型得到的北斗超快速钟差产品,相比国内i GMAS超快速钟差产品(ISU)与德国地学中心超快速钟差产品(GBU),预报精度在3 h,6 h,12 h和24 h四个方面分别提升了26.14%,16.46%,12.68%和10.58%及10.34%,13.85%,8.17%和14.41%。 展开更多
关键词 北斗卫星导航系统(BDS) 钟差预报 周期项 BP神经网络
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