Frequency calibration based on adaptive neural-fuzzy inference system

Author

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

Author_Institution

Dept. of CSIE, Vanung Univ., Taoyuan

fYear

2008

fDate

8-13 June 2008

Firstpage

616

Lastpage

617

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 10⁹ 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.

Keywords

calibration; crystal oscillators; frequency measurement; fuzzy neural nets; fuzzy reasoning; D-A converter; adaptive neural-fuzzy inference system; frequency calibration; frequency stability; oven-controlled crystal oscillator; time interval counter; Adaptive systems; Atomic clocks; Calibration; Frequency conversion; Frequency synchronization; Fuzzy control; Stability; Telecommunication control; Timing; WiMAX;

fLanguage

English

Publisher

ieee

Conference_Titel

Precision Electromagnetic Measurements Digest, 2008. CPEM 2008. Conference on

Conference_Location

Broomfield, CO

Print_ISBN

978-1-4244-2399-6

Electronic_ISBN

978-1-4244-2400-9

Type

conf

DOI

10.1109/CPEM.2008.4574930

Filename

4574930