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Clock Skew Estimation Using Kalman Filter and IEEE 1588v2 PTP for Telecom Networks

机译:使用卡尔曼滤波器和IEEE 1588v2 PTP进行电信网络的时钟偏斜估计

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摘要

Accurate and precise frequency synchronization is an essential requirement for different areas in telecommunication industry. Emerging practise for frequency synchronization is to utilize packet networks since it is highly cost effective. One method of distributing frequency over a variety of packet networks is based on well known IEEE 1588v2 PTP standard that uses a master-slave architecture. Accuracy and precision of the frequency synchronization over IEEE 1588v2 PTP is mainly deteriorated by the Packet Delay Variations (PDVs) experienced on the transmission path. This problem can be overcome by deploying so-called timing aware routing elements, however slaves' frequency accuracy and precision still heavily relies on the quality of the slave's clock synchronization algorithm. Hence, this work introduces an improved Kalman filter based algorithm for frequency synchronization over IEEE 1588v2 protocol that outperforms other prior art techniques. The algorithm's performance is evaluated using simulation, yet the network impairments (PDVs) are based on experimentally measured data.
机译:准确而精确的频率同步是电信行业不同领域的基本要求。频率同步的新兴实践是利用分组网络,因为它具有很高的成本效益。在各种分组网络上分配频率的一种方法是基于使用主从结构的众所周知的IEEE 1588v2 PTP标准。 IEEE 1588v2 PTP上的频率同步的准确性和精度主要是由于传输路径上遇到的数据包延迟变化(PDV)所致。通过部署所谓的时序感知路由元素可以解决此问题,但是从站的频率精度和精度仍然严重依赖于从站的时钟同步算法的质量。因此,这项工作引入了一种改进的基于卡尔曼滤波器的算法,该算法可在IEEE 1588v2协议上实现频率同步,其性能优于其他现有技术。该算法的性能是通过仿真评估的,但网络损伤(PDV)是基于实验测量的数据。

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