Title :
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
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;
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
DOI :
10.1109/CPEM.2008.4574930
