摘要
本文建立了Ad Hoc网络节点的时钟模型,设计了适用于网络节点时钟模型的Kalman滤波算法,利用时差噪声的分形特征估计Kalman滤波的协方差矩阵,并对时钟噪声序列特征进行分析。仿真结果表明,该算法不仅提高了滤波算法效率,同时能明显降低网络节点间的时钟偏差,实现了Ad Hoc网络节点间的高精度时间同步,同步精度优于25 ns。
In this study,the clock model of the Ad Hoc network node is established,the Kalman filter algorithm which suitable for the network node clock model is designed,the covariance matrix of the Kalman filter is estimated using the fractal characteristics of the time difference noise,and the characteristics of the clock noise sequence are analyzed.The simulation results shown that the filtering algorithm not only can improve the efficiency,but also can significantly reduce the clock deviation between network nodes,and achieves high-precision time synchronization between Ad Hoc network nodes.The accuracy of synchronization is better than 25 ns.
作者
孙力
邹德财
韩涛
SUN Li;ZOU De-cai;HAN Tao(National Time Service Center,Chinese Academy of Sciences,Xi’an 710600,China;Key Laboratory of Precise Positioning and Timing Technology,Chinese Academy of Sciences,Xi’an 710600,China;University of Chinese Academy of Sciences,Beijing 100049,China;School of Astronomy and Space Science,University of Chinese Academy of Sciences,Beijing 101048,China;Faculty of Sciences,Xi’an University of Technology,Xi’an 713300,China)
出处
《时间频率学报》
CSCD
2020年第4期279-287,共9页
Journal of Time and Frequency
基金
载人航天创新性预研资助项目(17680601)。
