自适应Kalman滤波用于实时求解原子钟运行参数

Real-time Solving Atomic Clock Operation Parameters Based on Adaptive Kalman Filter

实时准确掌握原子钟运行情况,对卫星导航和守时工作来说有着重要意义.针对标准Kalman滤波实时求解原子钟运行参数存在的问题,提出了运用基于预报残差的自适应Kalman滤波模型实时求解钟参数.该模型在标准Kalman滤波模型基础上,构造了一个自适应因子,使得当原子钟在调频或调相后能较快地给出准确可靠的运行参数估值.最后结合导航和守时工作的3个算例,验证了该方法的有效性.

Accurately grasping the real-time operation situation of atomic clocks is of important significance in the working range of satellite navigation and keeping time. The adaptive Kalman filter based on the residual forecast model is proposed in order to solve the problem arisen in the process of real-time solving atomic clock operation parameters with the standard Kalman filter. In this model, an adaptive factor is constructed to resist model error on the basis of the standard Kalman filter. Therefore, the atomic clock parameters can be obtained reliably and rapidly after the frequency or phase adjustments which often happen in the satellite navigation and keeping time community. Finally, the examples for both numerical simulation and a real-life situation are presented, and the results are analyzed in detail to demonstrate the efficiency of the proposed method.