基于Kalman滤波的单基准站钟差估计

在卫星定位中,通常认为地面系统的钟差是常数,但在实际中地面系统的钟差是随时间变化而变化的.为此,提出一种基准站钟差的估计方法,假设钟差的时钟模型有三参数,运动目标假设为siger模型,利用预报星历数据进行后处理,采用Kalman滤波算法对基准站的钟差进行仿真,得到基准站钟差的变化误差.结果表明,该方法能有效提高卫星定位...

Time Correction Estimation of Single Reference Station Based on Kalman Filtering

In the satellite positioning,the time correction of reference station is considered generally as a fixed number,but in actually,the time correction of reference station is considered changed along with the time.For this,a method of time correction estimation is put forward and the time model is corrected with three parameter.The time correction error of reference station can be got through using ephemeris data,supposing the moving-target as siger model and introducing the Kalman filtering algorithm.The time correction of reference station is accurately estimated.The results demonstrate that the positioning accuracy is advanced largely.