抗差卡尔曼滤波模型及其在GPS监测网中的应用

Robust Kalman Filtering Model and Its Application in GPS Monitoring Networks

根据量测向量中的粗差对状态向量滤波值的影响规律 ,导出了抗差卡尔曼滤波模型 ,该模型对观测空间和设计空间均具有良好的抗差性。通过对含有粗差的模拟 GPS监测网的计算 ,与标准卡尔曼滤波模型相比较 ,利用该抗差滤波模型 ,可获得可靠的变形分析结果。

This paper derives the Robust Kalman filtering model from the rules that the outliers in the observation vectors influence the state vectors,and this model has good robustness to observation space and design space. According to the computation results of the simulant GPS monitoring network with outliers,and compared with the results of the standard Kalman Filtering model,this Robust Kalman Filtering model can obtain reliable results of deformation analysis.