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Frequency calibration based on adaptive neural-fuzzy inference system

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.