Stochastic Modeling of Short and Long Term Clock Skew

Andrich C, Engelhardt M, Ihlow A, Beuster N, Del Galdo G (2020)


Publication Type: Conference contribution

Publication year: 2020

Publisher: Institute of Electrical and Electronics Engineers Inc.

Conference Proceedings Title: IFCS-ISAF 2020 - Joint Conference of the IEEE International Frequency Control Symposium and IEEE International Symposium on Applications of Ferroelectrics, Proceedings

Event location: Virtual, Keystone, CO, USA

ISBN: 9781728164304

DOI: 10.1109/IFCS-ISAF41089.2020.9234818

Abstract

Traditional black box clock skew models are either the power-law noise model or a more recent approach based on auto-regressive (AR) filters. Unfortunately, neither algorithm can accurately model short and long term skew due to limited degrees of freedom or stability constraints. We propose a novel model that employs the current AR algorithm recursively with appropriate pre- and post-processing to achieve numeric stability and accurate reproduction of short and long term effects. The model coefficients are derived from a measured skew signal, with the model output matching an exemplary original signal closely in terms of Allan variance and time-domain behavior.

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How to cite

APA:

Andrich, C., Engelhardt, M., Ihlow, A., Beuster, N., & Del Galdo, G. (2020). Stochastic Modeling of Short and Long Term Clock Skew. In IFCS-ISAF 2020 - Joint Conference of the IEEE International Frequency Control Symposium and IEEE International Symposium on Applications of Ferroelectrics, Proceedings. Virtual, Keystone, CO, USA: Institute of Electrical and Electronics Engineers Inc..

MLA:

Andrich, Carsten, et al. "Stochastic Modeling of Short and Long Term Clock Skew." Proceedings of the 2020 Joint Conference of the IEEE International Frequency Control Symposium and IEEE International Symposium on Applications of Ferroelectrics, IFCS-ISAF 2020, Virtual, Keystone, CO, USA Institute of Electrical and Electronics Engineers Inc., 2020.

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