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同步轨道卫星由于其“静止”特性,用多台站时间比对技术精确测定地面站到卫星间的伪距。而在以伪距为观测量的测定轨中,观测方程和动力学方程都是非线性的。为了避免线性化方程带来的误差,并满足实时性要求,该文提出用无味Kalman滤波(unscented Kalman filtering,UKF)法。实验是用5个距离拉开的测轨站采集的实测数据,并通过计算机仿真验证,仿真结果表明UKF法测定轨结果随机误差明显减小,而且满足实时性要求。
Synchronous orbit satellites use multiple station time alignment techniques to accurately determine the pseudoranges from the ground station to the satellite due to their “static” characteristics. In the orbit of the observed data, the observational and kinetic equations are non-linear. In order to avoid the error caused by the linearization equation and meet the real-time requirement, this paper proposes unscented Kalman filtering (UKF) method. The experiment is the measured data collected by the measuring stations which are separated by five distances and verified by computer simulation. The simulation results show that the random error of the UKF method is obviously reduced, and the real-time requirement is satisfied.