| ???????????Kalman???????????????????????о? |
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| 引用本文： | 韩厚增,王坚,马昌中.???????????Kalman???????????????????????о?[J].大地测量与地球动力学,2012,32(1):123-126. |
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| 作者姓名： | 韩厚增 王坚 马昌中 |
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| 作者单位： | 中国矿业大学环境与测绘学院,徐州 221116;中国矿业大学国土环境与灾害监测国家测绘局重点实验室,徐州 221116 |
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| 基金项目： | 教育部博士点基金(新教师)，国家自然科学基金，江苏省"青蓝工程"资助项目，江苏高校优势学科建设工程资助项目(PAPD) |
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| 摘 要： | ???????????????????????????￡????GPS???????????????У???????????е???????????????????????????????????????????????????????????????????????????????в????з????????????????????5?????????FFT??????????в??????????????????????????????????????????????е?????????????????????????????FFT????????????????????????????????????????GPS????????????????????????????????
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| 关 键 词： | ??????? ??????????? ????????? ?????? GPS??????? |
RESEARCH ON EXTRACTING MODEL OF BRIDGE AUTOOSCILATION FREQUENCY BASED ON KALMAN FILTING WITH COLORED NOISE |
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| Han Houzeng
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Wang Jian
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Ma Changzhong.RESEARCH ON EXTRACTING MODEL OF BRIDGE AUTOOSCILATION FREQUENCY BASED ON KALMAN FILTING WITH COLORED NOISE[J].Journal of Geodesy and Geodynamics,2012,32(1):123-126. |
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| Authors: | Han Houzeng Wang Jian Ma Changzhong |
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| Institution: | 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) |
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| 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 Gauss-Markov 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 low-frequency dynamic features extracted with GPS dynamic data. |
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| Keywords: | colored noise Gauss-Markov Kalman filtering frequency spectrum analysis GPS kinematic surveying |
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