摘要
对 GPS定位中的 SA误差作了系统辨识。表明 :SA误差可用时变 AR( P)模型表述 ,AR( P)的时变参数可由 RLS算法结合 F判据建立的 AR( P)模型辨识机获得。用该方法获得的模型对 SA误差进行预报 ,在剔除野值后精度在 1 0 m之内 ,还提出一种方法 ,可得到具有 SA预报能力的 GPS KALMAN滤波器。
SA error of GPS.Was identified systematically.It indicates that SA error can be expressed by time transformation AR( P ) model,and AR( P ) time transformation parameters can be obtained by AR( P ) model recognization that is build through RLS calculation and F judging evidence.The model obtained by this method can be used to forecast SA error,the accuracy is within the range of after removing the filed value.We can also obtain a kind of GPS KALMAN filter possessing SA forecasting ability through the way that is offered in this paper.
出处
《山东科学》
CAS
2000年第3期61-65,共5页
Shandong Science
关键词
滤波器
GPS
预报能力
SA
KALMAN filter
ARMA (p,q )model
AR( P )model