Next Article in Journal
Wearable Driver Distraction Identification On-The-Road via Continuous Decomposition of Galvanic Skin Responses
Next Article in Special Issue
PSPICE Hybrid Modeling and Simulation of Capacitive Micro-Gyroscopes
Previous Article in Journal
A Glider-Assisted Link Disruption Restoration Mechanism in Underwater Acoustic Sensor Networks
Previous Article in Special Issue
Fabrication of Glass Microchannel via Glass Imprinting using a Vitreous Carbon Stamp for Flow Focusing Droplet Generator
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(2), 502; https://doi.org/10.3390/s18020502

Predicting Long-Term Stability of Precise Oscillators under Influence of Frequency Drift

1
GNSS (Global Navigation Satellite System) Research Center, Wuhan University, 129 Luoyu Road, 430079 Wuhan, China
2
Collaborative Innovation Center for Geospatial Information Technology, Wuhan University, 129 Luoyu Road, 430079 Wuhan, China
*
Author to whom correspondence should be addressed.
Received: 24 December 2017 / Revised: 2 February 2018 / Accepted: 4 February 2018 / Published: 7 February 2018
(This article belongs to the Collection Modeling, Testing and Reliability Issues in MEMS Engineering)
View Full-Text   |   Download PDF [992 KB, uploaded 8 February 2018]   |  

Abstract

High-performance oscillators, atomic clocks for instance, are important in modern industries, finance and scientific research. In this paper, the authors study the estimation and prediction of long-term stability based on convex optimization techniques and compressive sensing. To take frequency drift into account, its influence on Allan and modified Allan variances is formulated. Meanwhile, expressions for the expectation and variance of discrete-time Hadamard variance are derived. Methods that reduce the computational complexity of these expressions are also introduced. Tests against GPS precise clock data show that the method can correctly predict one-week frequency stability from 14-day measured data. View Full-Text
Keywords: frequency stability; drift; power-law noise; convex optimization; compressive sensing frequency stability; drift; power-law noise; convex optimization; compressive sensing
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Cheng, W.; Nie, G. Predicting Long-Term Stability of Precise Oscillators under Influence of Frequency Drift. Sensors 2018, 18, 502.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top