Algorithm for Taming Rubidium Atomic Clocks Based on Longwave (Loran-C) Timing Signals

This paper explores effective methods for taming rubidium atomic clocks with longwave timing signals. In an in-depth analysis of the time-difference data between the 1PPS timing signal output from the ground-wave signal received by a long-wave receiver and the 1PPS signal from UTC, we observe that the time-difference data has significant short-term jitter and long-term periodicity effects. To meet this challenge, we adopt several innovative strategies. First, we use the Fourier transform algorithm to analyse the time-frequency characteristics of the time-difference data in detail and accordingly propose a de-jittering correction algorithm for the long-wave timing data, which is aimed at improving the stability of the long-wave timing signals. Secondly, the time difference model of the rubidium clock is innovatively modified, and a quadratic polynomial superimposed with a periodic fluctuation term is constructed, which can accurately solve and eliminate the periodic components and obtain smoother time difference data. Finally, the parameters of the rubidium clock are accurately estimated by the least-squares method using the corrected smoother time difference data, and the output frequency of the rubidium clock is adjusted accordingly so that the rubidium clock is tamed effectively by the long-wave timing signal successfully. The experimental results show that the long-term stability of the tamed rubidium clock is significantly improved to 3.52 × 10−13/100,000 s; meanwhile, the phase deviation of the output 1PPS from the UTC of the tamed rubidium clock after entering the stabilisation period is kept within 25 ns.

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Publication Details

Journal
Remote Sensing
Published
2025-03-17
DOI
https://doi.org/10.3390/rs17061049
Citations
1
Primary Topic
Advanced Frequency and Time Standards
Type
article
Field-Weighted Citation Impact
1.25

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article

Algorithm for Taming Rubidium Atomic Clocks Based on Longwave (Loran-C) Timing Signals

Huabing Wu, Yuji Li, Jianfeng Wu, Xiaolong Guan et al.
1 citations
Remote Sensing
Advanced Frequency and Time Standards
1.25
article

Algorithm for Taming Rubidium Atomic Clocks Based on Longwave (Loran-C) Timing Signals

Huabing Wu, Yuji Li, Jianfeng Wu, Xiaolong Guan, Aiping Zhao, Yan Xing, Zhibo Zhou
article en
1 citations

Abstract

This paper explores effective methods for taming rubidium atomic clocks with longwave timing signals. In an in-depth analysis of the time-difference data between the 1PPS timing signal output from the ground-wave signal received by a long-wave receiver and the 1PPS signal from UTC, we observe that the time-difference data has significant short-term jitter and long-term periodicity effects. To meet this challenge, we adopt several innovative strategies. First, we use the Fourier transform algorithm to analyse the time-frequency characteristics of the time-difference data in detail and accordingly propose a de-jittering correction algorithm for the long-wave timing data, which is aimed at improving the stability of the long-wave timing signals. Secondly, the time difference model of the rubidium clock is innovatively modified, and a quadratic polynomial superimposed with a periodic fluctuation term is constructed, which can accurately solve and eliminate the periodic components and obtain smoother time difference data. Finally, the parameters of the rubidium clock are accurately estimated by the least-squares method using the corrected smoother time difference data, and the output frequency of the rubidium clock is adjusted accordingly so that the rubidium clock is tamed effectively by the long-wave timing signal successfully. The experimental results show that the long-term stability of the tamed rubidium clock is significantly improved to 3.52 × 10−13/100,000 s; meanwhile, the phase deviation of the output 1PPS from the UTC of the tamed rubidium clock after entering the stabilisation period is kept within 25 ns.

Remote SensingVol. 17(6)
Chinese Academy of Sciences (CN), National Time Service Center (CN), University of Chinese Academy of Sciences (CN)
Youth Innovation Promotion Association of the Chinese Academy of Sciences
Openalex Percentile: Top 23%
Advanced Frequency and Time Standards
1.25
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