Study of Surface Movement and Deformation Prediction Based JZon Adaptive Kalman Filtering

  Construct a variance compensation adaptive Kalman filter forecasting model, using GNSS CORS to continuously run realtime monitoring data, and compare and analyze the predicted Kalman filtering value, the standard Kalman filter forecast value and the measured data, and obtain the adaptive Kalman filter forecasting bias. Obviously reduced, the accuracy of forecasting has been significantly improved, which meets the accuracy requirements for real-time monitoring of surface movement deformation.