The predication of the tunnel peripheral displacement base on the parameter adaptive EKF
Ling Tong-hu · Journal of Transport Science and Engineering · 2014
Base on parameter adaptive extended Kalman filter(EKF),aprediction model of tunnel peripheral displacement is built.In order to prevent filter form divergency,a way to judge the convergency and divergency of the filter by residual error'speciality factor is proposed so as to adjust the model parameter,and ensure the precision.Judging The feasibility of the predict model is judged based on the comparison between prediction and observation.A comparison for predicting residual error between standard EKF and parameter adaptive EKF is presented to evaluate which method is better.Results indicate that:Parameter adaptive EKF of more feasibility can effectively prevent filter from the divergency,and predict well.