基于Kalman滤波的低轨卫星运动学精密定轨快速算法

提出一种改进的Kalman滤波算法，设计并实现了基于Kalman滤波的运动学定轨方法。通过对GRACE卫星实测数据的计算表明，该方法不仅对计算机要求低，计算效率高，而且能达到与最小二乘法相当的定轨精度，可以作为今后高采样率星载GPS数据的定轨方法。

An Effective Algorithm for LEOs' Kinematic Precise Orbit Determination Based on Kalman Filter

A modified Kalman filter is designed for the kinematic POD, which combines the advantages of the least square adjustment and the Kalman filter. Then the GRACE GPS data are processed with the modified Kalman filter, and by comparison with the GFZ’s reduced-dynamic POD, the accuracy on x, y and z directions are better than 3 cm, 4 cm, and 3.5 cm respectively. According to the performance of the new Kalman filter, we can expect that it can be used in the kinematic orbit determination for space borne GPS data with 1 Hz sampling rate in the future.