Frequency calibration based on adaptive neural-fuzzy inference system

Kun Yuan Tu, Wang Hsin Hsu, Jung Shyr Wu, Chia Shu Liao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

A new scheme of frequency calibration based on adaptive neural-fuzzy inference system (ANFIS) is proposed in this paper. In normal mode, an oven-controlled crystal oscillator (OCXO) is steered by integrating time interval counter (TIC), fuzzy controller, D/A converter, etc., such that its frequency can follow a primary cesium atomic clock. In addition, the ANFIS is applied when the system enters holdover mode. Experimental results show that the frequency stability of the OCXO can be improved from a few parts in 10 9 to 1013 for averaging times of one day, as well as the performance could be maintained within a few parts in 1010 over one day in the holdover mode.

Original languageEnglish
Title of host publication2008 Conference on Precision Electromagnetic Measurements Digest, CPEM 2008
Pages616-617
Number of pages2
DOIs
StatePublished - 2008
Event2008 Conference on Precision Electromagnetic Measurements Digest, CPEM 2008 - Broomfield, CO, United States
Duration: 8 Jun 200813 Jun 2008

Publication series

NameCPEM Digest (Conference on Precision Electromagnetic Measurements)
ISSN (Print)0589-1485

Conference

Conference2008 Conference on Precision Electromagnetic Measurements Digest, CPEM 2008
Country/TerritoryUnited States
CityBroomfield, CO
Period8/06/0813/06/08

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