摘要
为了提高钟差预测精度,提出一种改进的卡尔曼滤波算法进行钟差预测。在卡尔曼滤波算法的基础上,将全球定位系统接收机输出的秒脉冲信号作为参考源,对铷原子钟的调整参数加入支持向量机的预测惩罚和幅值变化等限制措施,估计铷原子钟的参数,得到铷原子钟的频率调整量。将铷原子钟的频率调节至参考频率,使得铷原子钟与参考源达到同步。实验结果表明,改进的卡尔曼滤波算法能明显提高钟差预测精度。
In order to improve the accuracy of clock error prediction,an improved Kalman filter algorithm is proposed.Using the second pulse signal output obtained by the global positioning system receiver as the reference source,based on the kalman filter algorithm,the adjustment parameters of the rubidium atomic clock are added to the support vector machine's prediction penalty and amplitude variation and other limiting measures to estimate the parameters of the rubidium atomic clock.The frequency adjustment of the atomic clock is therefore obtained.The frequency of the rubidium atomic clock is then adjusted to the reference frequency synchronizes the rubidium atomic clock with the reference source.Experimental results show that the improved filtering algorithm can significantly improve the clock prediction accuracy compared with the traditional Kalman filtering algorithm.
作者
张继荣
汤利娜
ZHANG Jirong;TANG Lina(School of Communication and Information Engineering,Xi'an University of Posts and Telecommunications,Xi'an 710121,China)
出处
《西安邮电大学学报》
2019年第5期1-5,共5页
Journal of Xi’an University of Posts and Telecommunications
基金
国家电网公司系统科学技术资助项目(5217C0160002)
关键词
铷原子钟
卡尔曼滤波
支持向量机
钟差预测
rubidium atomic clock
Kalman filter
support vector machine
clock difference
