频标驯服算法的改进研究

Clock Discipling Algorithm on Multiple Clocks Joint Timing Platform

针对实际环境中对频标驯服的速度、稳定性的要求,基于自主开发的多钟联合守时平台,对现有的经典驯服算法进行了研究与改进。介绍了平台的基本组成和驯服架构,分析了驯服算法参数确定方式,基于初值选取和自适应滤波的方法,对卡尔曼滤波算法在实际场景的应用做出改进。通过软件仿真与平台实际测试实验,结果表明,当采用先验估计的方法生成初值和Sage-Husa自适应滤波方法来驯服铷原子钟时,显著提高了卡尔曼滤波在实际平台上的驯服速度,耗时只需改进前的四分之一。

Aiming at the requirement of speed and stability in the real environment clock discipling,a multiple clocks joint timing platform is developed.Based on this platform,there are some researches and improvements that works on the tranditional clock discipling algorithm.In this paper,the construct of the timing platform is introduced,and the basical parameters are analyzed.The method of selecting initial parameters and self-adaptive filtering which can improve the algorithm is proposed.By the simulation works and experimental measurements,it proves that the speed of clock discipling is much faster when use a initial parameter by priori estimate and discipling clock by Sage adaptive filter.And after improvement,it takes only a quarter of former time consuming.