重庆邮电大学学报（自然科学版）2026，Vol.38Issue(3)：415-424,10.DOI:10.3979/j.issn.1673-825X.202501250030
基于交替极小化卡尔曼滤波的PTP时钟同步参数跟踪方法
PTP clock synchronization parameter tracking method based on alternating minimization Kalman filter
摘要
Abstract
Clock synchronization is a critical technology for ensuring the reliable operation of industrial networks.The precision time protocol(PTP)achieves high-accuracy time synchronization by exchanging messages containing precise timestamps.However,uncertainties arising during timestamp generation and transmission introduce noise,leading to timestamp deviations and a consequent degradation in PTP synchronization accuracy.To address this issue,this paper proposes an alternating minimization kalman filter(AMKF)-based joint clock parameter tracking method to mitigate synchronization errors caused by timestamp noise.The proposed AMKF approach employs linear difference equations to establish a reliable clock state-space model.During the prediction stage,an alternating minimization strategy is introduced to jointly account for timestamp noise and unknown observation noise,thereby enhancing the update process of the conventional Kalman filter.By adaptively adjusting the Kalman gain,the influence of timestamp deviations and unknown observation noise parameters can be effectively suppressed,enabling accurate and robust estimation of clock parameters.Simulation results show that the root mean square error(RMSE)of clock phase offset and clock frequency offset achieved by the AMKF method are 0.004615 ms and 0.000741,respectively.Compared with existing approaches,the proposed method reduces the RMSE by approximately two orders of magnitude,demonstrating strong robustness and superior performance in complex industrial networking environments.关键词
时钟同步/精确时间协议/时间戳噪声/卡尔曼滤波Key words
clock synchronization/precision time protocol/timestamp noise/Kalman filter分类
信息技术与安全科学引用本文复制引用
王恒,王红,刘晓江..基于交替极小化卡尔曼滤波的PTP时钟同步参数跟踪方法[J].重庆邮电大学学报（自然科学版）,2026,38(3):415-424,10.基金项目
国家自然科学基金企业创新发展联合基金项目(U23B2003) （U23B2003）
重庆市自然科学基金创新发展联合基金(市教委)项目(CSTB2024NSCQ-LZX0127) National Natural Science Foundation of China(U23B2003) （市教委）
Natural Science Foundation of Chongqing(CSTB2024NSCQ-LZX0127) （CSTB2024NSCQ-LZX0127）
