基于渐消因子的ECEF-GLS估计算法

ECEF-GLS estimation algorithm based on fading factor

传统的误差配准算法假设系统偏差恒定或缓慢变化,当系统误差发生突变或快速变化时,这一假设不再成立。针对这一问题,研究了时变条件下的误差配准算法,引入渐消因子,对常规的基于地心地固坐标系的广义最小二乘算法(generalized least squares algorithm based on the earth-centered earth-fixed coordinate system,ECEF-GLS)进行了修正,弱化历史量测对配准的影响,并对渐消因子的选取问题进行了研究,给出了合理的设计方法。算法验证表明,基于渐消因子的ECEF-GLS估计算法能够对时变的系统偏差进行有效估计,精度满足配准要求。

The traditional error registration algorithm assumes that the system deviation is constant or changes slowly,but this assumption is no longer valid when the system error changes suddenly or rapidly.To solve this problem,the error registration algorithm in time-varying condition is studied,the fading factor is introduced,the conventional generalized least squares algorithm based on the earth-centered earth-fixed coordinate system(ECEF-GLS)is revised,the historical measurement influence on registration is weaken,and the selection problem of fading factor are studied to give reasonable design method.The algorithm verification shows that the ECEF-GLS estimation algorithm based on fading factor can estimate the time-varying system deviation effectively,and the accuracy meets the requirements of registration.