DocumentCode :
3608716
Title :
On the Optimum Design of L-Estimators for Phase Offset Estimation in IEEE 1588
Author :
Guruswamy, Anand ; Blum, Rick S. ; Kishore, Shalinee ; Bordogna, Mark
Author_Institution :
Dept. of Electr. & Comput. Eng., Lehigh Univ., Bethlehem, PA, USA
Volume :
63
Issue :
12
fYear :
2015
Firstpage :
5101
Lastpage :
5115
Abstract :
In packet-based time synchronization protocols such as IEEE 1588, clock phase offsets are determined via two-way message exchanges between a master and a slave. Since the end-to-end delays in packet networks are inherently stochastic in nature, the recovery of phase offsets from message exchanges must be treated as a statistical estimation problem. Recently, minimax estimators for this problem were proposed by the authors, which are optimum in terms of minimizing the mean-squared estimation error over all values of the unknown parameters. In this paper, we consider a restricted class of estimators referred to as L-estimators, which are linear functions of order statistics. The problem of designing optimum L-estimators is studied under several hitherto unconsidered criteria of optimality. Our results address the case where the queuing delay distributions are fully known, as well as the case where network model uncertainty exists. Optimum L-estimators that utilize information from past observation windows to improve performance are also described. The derived L-estimators have a much lower computational complexity than minimax estimators, and also require lesser statistical knowledge of the queuing delays. Simulation results indicate that L-estimators exhibit a mean-squared estimation error very close to minimax estimators under many network scenarios.
Keywords :
4G mobile communication; computational complexity; mean square error methods; minimax techniques; packet radio networks; packet switching; queueing theory; statistical analysis; synchronisation; 4G network; IEEE 1588; L-estimator optimum design; computational complexity; mean-squared estimation error minimization; message exchange; minimax estimator; packet network; packet-based time synchronization protocol; phase offset estimation; queuing delay distribution; statistical estimation problem; Clocks; Delays; Estimation error; Protocols; Synchronization; Uncertainty; L-estimators; order statistics; phase offset estimation; precision time protocol; time synchronization;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOMM.2015.2493534
Filename :
7302563
Link To Document :
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