Research on High-Precision Local Multi Reference Clock Synthesis Algorithm Based on BP Neural Network

ZHANG Meng

doi:10.3969/j.issn.0372-2112.2019.08.003

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Research on High-Precision Local Multi Reference Clock Synthesis Algorithm Based on BP Neural Network

更新时间：2025-07-16

- Research on High-Precision Local Multi Reference Clock Synthesis Algorithm Based on BP Neural Network
- Acta Electronica Sinica Vol. 47, Issue 8, Pages: 1618-1625(2019)
- 作者机构：
  
  1. 中国信息通信研究院技术与标准研究所,北京,100191
  2. 中国信息通信研究院技术与标准研究所,北京,100191
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61671159)
- DOI：10.3969/j.issn.0372-2112.2019.08.003
  CLC： TN911.6
- Published Online：25 August 2019，
  
  Published：2019
- 稿件说明：
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ZHANG Meng. Research on High-Precision Local Multi Reference Clock Synthesis Algorithm Based on BP Neural Network[J]. Acta Electronica Sinica, 2019, 47(8): 1618-1625.
DOI：

ZHANG Meng. Research on High-Precision Local Multi Reference Clock Synthesis Algorithm Based on BP Neural Network[J]. Acta Electronica Sinica, 2019, 47(8): 1618-1625. DOI： 10.3969/j.issn.0372-2112.2019.08.003.

摘要

解决基于单个原子钟的系统频率准确度难以突破10

-12

量级，基于多基准时钟合成算法的系统无法同时显著改善时钟的长期稳定性和短期稳定性，难以满足未来诸多领域超高精度时钟同步需求的问题，本文将多基准时钟合成算法和神经网络算法相结合，提出一种基于误差逆传播算法神经网络（BP神经网络）的本地多基准时钟合成算法，可以同时改善时钟源的短期和长期稳定性.

Abstract

The system frequency accuracy based on a single atomic clock is difficult to break through 10

-12

level

and the system based on multi-reference clock synthesis algorithm can't significantly improve the long-term stability and short-term stability of the clock at the same time

which is difficult to meet the requirements of ultra-high precision clock synchronization in many fields in the future. Combined with neural network algorithm

a local multi-reference clock synthesis algorithm based on back-propagation neural network (BP neural network) is proposed

which can improve the short-term and long-term stability of clock source at the same time.

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