TY - GEN
T1 - Application of Kalman Filter in Deformation Data Processing of Ground-based Differential Interferometric Radar
AU - Tan, Aijun
AU - Tan, Zefu
AU - Tian, Weiming
AU - Yan, Manjun
AU - Long, Ying
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - 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.
AB - 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.
KW - Data processing
KW - Deformation prediction
KW - Differential interference technology
KW - Ground-based differential interference radar
KW - Kalman filter
UR - http://www.scopus.com/inward/record.url?scp=85091917757&partnerID=8YFLogxK
U2 - 10.1109/ICSIDP47821.2019.9173304
DO - 10.1109/ICSIDP47821.2019.9173304
M3 - Conference contribution
AN - SCOPUS:85091917757
T3 - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
BT - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Y2 - 11 December 2019 through 13 December 2019
ER -