误差空间估计的卫星跟踪位置预测

为了提高光电跟踪设备进行卫星观测跟踪时的精度与平稳性,提出一种在跟踪过程中预测卫星位置的误差空间估计方法.该方法根据当前不完全有效与准确的实测数据,用动力学模型方法离线预测数据与离线预测误差表示卫星位置,在预测误差构成的误差空间中对其进行滤波与预测,再与离线预测数据合成以得到精度更高的卫星位置预测数据.实验结果表明,文中方法对卫星位置的预测数据精度比采用运动学模型的Kalman滤波方法高,在精度要求为1'的情况下,其能预测的时间范围比后者多25s以上,且误差随预测步长的增加,增长较缓慢.

Position prediction method for satellite tracking based on error-space estimate

To improve observing accuracy and stability of optic-electronic target tracking equipment, an algorithm to predict satellite position in tracking process was presented based on error-space estimate. Due to the current measurement data for target without satisfying validity and accuracy, satellite position was expressed by offline prediction data and errors of dynamics model method, and then prediction errors were filtered and predicted in error-space. Satellite position prediction data of higher accuracy provided for the follow-up system of tracking equipment could be obtained by synthesizing offline prediction errors and prediction data of dynamics model method. Experiment results show that the satellite position prediction accuracy of the algorithm is higher than that of Kalman filter with kinematics model. And prediction time extent of the algorithm is about 25s more than that of the latter when the accuracy is 1arcmin, and errors increases slowly with prediction steps.