SURVEYING Application of Kalman Filter in Real-Time Deformation Monitoring using Surveying Robot
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Tor (2002) compared the use of L1 (minimum norm), L2 (least squares), Kalman filter and time series analysis in deformation analysis and found the Kalman filter a robust way of dealing with noisy time-series data typically found in continuous deformation measurement. Further work had since been done by the author to provide the adaptive filtering and to incorporate the near-real-time transmission of deformation results via GPRS (General Packet Radio Service) data modem and issue of alarm via SMS when “trigger” levels are reached. Comparison of the Kalman-filtered results with that of the least squares is also made in this paper.
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