RESEARCH ON EXTRACTING MODEL OF BRIDGE AUTOOSCILATION FREQUENCY BASED ON KALMAN FILTING WITH COLORED NOISE
Han Houzeng 1,2) ;Wang Jian 1,2) ; and Ma Changzhong 1, 2)
1)School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116;2)China University of Mining and Technology, Key Laboratory for Land Environment and Disaster Monitoring of SBSM，Xuzhou 221116
Abstract Under the premise of analysis of Kalman filtering with colored noise, aiming to the time series of GPS kinematic surveying, the time delay of the error sequence is analyzed and the GaussMarkov model is introduced to process it with colored measurement noise, thus the time series without correlated noise was obtained. The time series of the residuals is divided into two sessions with each session period lasting for 5 minutes and then the spectrum analysis of the residual signal is made with FFT.Finally, the frequency spectrum of the error signal is obtained, and then the two frequency spectrum are compared with each other to obtain the natural frequency of the bridge, and the acceleration data is analyzed with FFT to gain the frequency spectrum to confirm the lowfrequency dynamic features extracted with GPS dynamic data.
Han Houzeng,Wang Jian,and Ma Changzhong. RESEARCH ON EXTRACTING MODEL OF BRIDGE AUTOOSCILATION FREQUENCY BASED ON KALMAN FILTING WITH COLORED NOISE[J]. , 2012, 32(1): 123-126.
Han Houzeng,Wang Jian,and Ma Changzhong. RESEARCH ON EXTRACTING MODEL OF BRIDGE AUTOOSCILATION FREQUENCY BASED ON KALMAN FILTING WITH COLORED NOISE[J]. jgg, 2012, 32(1): 123-126.
