A Study on Autonomous Integrity Monitoring of Multiple Atomic Clocks

IF 0.8 4区工程技术 Q4 INSTRUMENTS & INSTRUMENTATION

Measurement Science Review Pub Date : 2022-08-05 DOI:10.2478/msr-2022-0025

Bo Xiao, Ya Liu, Yanrong Xue, Xiaohui Li

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引用次数: 0

Abstract

Abstract A stable and reliable time keeping system depends on the integrity monitoring of the atomic frequency standard. This paper reports a scheme for autonomous integrity monitoring of multiple atomic clocks, which combines the frequency standard comparison method and the frequency jump detection method. The frequency standard comparison method uses multi-channel synchronous acquisition technology and digital frequency measurement technology to realize the precise measurement of multiple atomic frequency standards. The frequency jump detection method uses adaptive filtering to predict the relative frequency difference and give an accurate and timely alarm for the abnormal of frequency jump. The results show that the noise floor frequency standard comparator is better than 6.5×10−15 s. For a relative frequency deviation of 2.0×10−6 Hz, the probability of anomaly detection is almost 100 %. The system has high frequency measurement resolution and fast alarm of frequency jump, which can meet the real-time requirements of a time keeping system for the integrity monitoring of multiple atomic clocks.

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多原子钟的自主完整性监测研究

一个稳定可靠的计时系统依赖于原子频率标准的完整性监测。本文提出了一种结合频率标准比比法和跳频检测法的多原子钟自主完整性监测方案。频率标准比较法采用多通道同步采集技术和数字测频技术，实现多个原子频率标准的精确测量。跳频检测方法采用自适应滤波预测相对频率差，对跳频异常及时准确报警。结果表明，本底噪声标准比较器优于6.5×10−15 s。相对频率偏差为2.0×10−6 Hz时，异常检测的概率几乎为100%。该系统具有较高的频率测量分辨率和快速的跳频报警功能，能够满足一个计时系统对多个原子钟完整性监测的实时性要求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Measurement Science Review INSTRUMENTS & INSTRUMENTATION-

CiteScore

2.00

自引率

11.10%

发文量

审稿时长

4.8 months

期刊介绍： - theory of measurement - mathematical processing of measured data - measurement uncertainty minimisation - statistical methods in data evaluation and modelling - measurement as an interdisciplinary activity - measurement science in education - medical imaging methods, image processing - biosignal measurement, processing and analysis - model based biomeasurements - neural networks in biomeasurement - telemeasurement in biomedicine - measurement in nanomedicine - measurement of basic physical quantities - magnetic and electric fields measurements - measurement of geometrical and mechanical quantities - optical measuring methods - electromagnetic compatibility - measurement in material science