EMD在北斗桥梁变形监测数据中的应用研究

Application Research of EMD on Bridge Deformation Monitoring Data of Beidou

针对我国北斗系统变形监测数据中存在的噪声问题,本文利用自适应信号分析方法经验模态分解(EMD)对某北斗实测变形监测数据进行降噪处理。首先对E、N、U 3个方向的分量进行分解获取本征模态函数及趋势项,其次根据相关系数分离出噪声的本征模态函数,最后根据重构方法得到干净的位移序列。结果表明:EMD方法在北斗变形监测数据中的去噪是可行的,能有效分离信号与噪声,进一步提高了北斗观测的精度。

Aiming at the noise problems in the deformation monitoring data of Beidou system in our country,the adaptive signal analysis method empirical mode decomposition(EMD)is used to reduce the noise of the measured deformation monitoring data of Beidou system.Firstly,the components of the three directions of E,N,and U are decomposed to obtain the eigenmode function and trend term.Secondly,the eigenmode function of noise is separated according to the correlation coefficient.Finally,the clean displacement sequence is obtained according to the reconstruction method.The results show that the EMD method is feasible in the denoising of Beidou deformation monitoring data,which can effectively separate the signal and noise,and further improve the accuracy of Beidou observation.