Robust Kalman Filtering Model and Its Application in GPS Monitoring Networks
LU Wei-cai
Abstract
LU Wei-cai
Abstract
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.
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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.
Key concepts: Kalman filter, Outlier, Robustness (evolution), Fast Kalman filter, Global Positioning System, Computer science, Computation, State-space representation