Application of Kalman Filter in Deformation Data Processing of Ground-based Differential Interferometric Radar

Ground-based differential interferometric radar is widely used in deformation monitoring research, but the one-dimensional deformation information dynamically acquired along the radar line of sight is often affected by random noise error and measurement error. In order to solve this problem, this paper proposes a deformation data processing method of ground-based differential interferometric radar based on Kalman filter. Firstly, the principle of ground-based differential interference technology is deeply studied. Then, based on the characteristics of deformation data monitored by ground-based radar, the Kalman filter data processing model is used to filter and predict the data. Finally, the measured data of slope monitoring in Malanzhuang open-pit mining is used. The effectiveness of the algorithm is verified by simulation and the accuracy of deformation data processing is greatly improved.