应用预测滤波估计卫星姿态

Estimating satellite attitude with predictive filtering

本文推导了预测滤波法的基本原理,应用了预测滤波作为卫星姿态状态预报算法,并与经典卡尔曼滤波进行了比较。实验表明采用预测滤波法对不同姿态角均能得出较好的估计结果,克服了经典卡尔曼滤波法进行估计存在的估计模型误差和推广卡尔曼滤波(EKF)的线性化误差。

In this paper the principle of the predictive filtering method was deduced, and the method was applied in the prediction of satellite attitude states and the result was compared with that of classic Kalman filter. Experiment shows that for different attitude angles the predictive method can lead to anticipated estimations, which overcomes the error of estimation model of classic Kalman filter and the linearization error of the Extended Kalman Filter（EKF）.