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 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">9</sup> to 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">13</sup> for averaging times of one day, as well as the performance could be maintained within a few parts in 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">10</sup> over one day in the holdover mode.
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