基于加权多元线性回归的两步式时间同步算法  

Two-Step Time Synchronization Based on Weighted Multiple Linear Regression

作　　者：彭进霖 PENG Jinlin(Beijing Institute of Tracking and Telecommunication Technology,Beijing 100094;Tsinghua University,Beijing 100084)

机构地区：[1]北京跟踪与通信技术研究所,北京100094 [2]清华大学,北京100084

出　　处：《飞行器测控学报》2017年第6期450-456,共7页Journal of Spacecraft TT&C Technology

摘　　要：时间同步在通信、计算机、测控等网络中是一项重要技术。针对目标时钟在多同步源时的时间同步问题,从统计学中参数估计的角度建模,提出了一种基于WMLR(Weighted Multiple Linear Regression,加权多元线性回归)的两步式时间同步算法。此算法分为粗同步和精同步2个阶段,通过给不同的时间信息加权的方式提高同步精度,并且可以计算不同同步源之间存在的系统误差。结果表明,这一算法通过合理应用来自不同同步源的时间信息,可以提高时间同步的精度及稳定性。由于模型的普遍性,这一基于WMLR的算法也可以应用于其他类似的多源参数估计的场景中。Synchronization is a key challenge in many communication systems.This paper proposes a two-step WMLR(Weighted Multiple Linear Regression)based synchronization scheme for synchronization scenarios with dual synchronization sources.In the proposed scheme,the clock offset and clock skew are first estimated with NLR(Normal Linear Regression)using timing information from two sources separately.Unlike most synchronization methods that select estimates from one source,the proposed scheme efficiently uses timing information from both sources with WMIR,where the weights were also conducted in the first stcp,and gives better estimates for clock offset and clock skew.Simulation results show that the proposed scheme provides better synchronization accuracy and better stability than any of individual sources.

关 键 词：线性回归 参数估计 时间同步 时钟同步 

分 类 号：V557[航空宇航科学与技术—人机与环境工程] TN919.34[电子电信—通信与信息系统]