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The predictability of atomic clock is generally used to characterize its overall performance. Anomalous clock behaviors lead to greater prediction error in traditional prediction method, such as polynomial fitting predictor and Kalman filter predictor. Our previous work developed random pursuit strategy (RPS) to avoid or minimize above the problem. It was further applied to real data of three Hydrogen...
This paper presents a generating procedure of local atomic clock ensemble time scale (LACETS) based on Kalman filter and algorithms used for UTC generation. Frequency prediction error of the clock originated from Kalman method is used to evaluate the predictability. According to this predictability, the weight attributed to each clock in the ensemble is defined in the new weighting algorithm. That...
This paper presents a method to enhance the stability of atomic clock ensemble time scale by using weighted moving average filter. Compared with Kalman filter, the weighted moving average filter has simpler algorithm structure, higher computational efficiency. Its convergence time is shorter than Kalman filter. When the two filters were applied to frequency data of Cs clocks, they have consistent...
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