DocumentCode
46911
Title
Clock Skew Estimation Using Kalman Filter and IEEE 1588v2 PTP for Telecom Networks
Author
Chaloupka, Zdenek ; Alsindi, Nayef ; Aweya, James
Author_Institution
BT Innovation Center (EBTIC), Khalifa Univ. of Sci., Abu Dhabi, United Arab Emirates
Volume
19
Issue
7
fYear
2015
fDate
Jul-15
Firstpage
1181
Lastpage
1184
Abstract
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.
Keywords
Kalman filters; linear programming; synchronisation; telecommunication network routing; IEEE 1588v2 PTP standard; clock skew estimation; clock synchronization algorithm; frequency synchronization; improved Kalman filter based algorithm; linear programming; master-slave architecture; packet delay variations; telecommunication industry; timing aware routing elements; Accuracy; Clocks; Complexity theory; Convergence; Frequency synchronization; Noise; Synchronization; Clock skew; IEEE 1588; Kalman filter; Linear programming; Linear regression; clock skew; frequency synchronization; linear programming; linear regression;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2015.2427158
Filename
7096944
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