WU Jizhong, HUA Xianghong, GAO Junqiang. Feature Extraction of Structure Natural Vibration and Multipath Separation Based on Wavelet Packet Decomposition[J]. Geomatics and Information Science of Wuhan University, 2010, 35(4): 486-490.
Citation: WU Jizhong, HUA Xianghong, GAO Junqiang. Feature Extraction of Structure Natural Vibration and Multipath Separation Based on Wavelet Packet Decomposition[J]. Geomatics and Information Science of Wuhan University, 2010, 35(4): 486-490.

Feature Extraction of Structure Natural Vibration and Multipath Separation Based on Wavelet Packet Decomposition

Funds: 国家863计划资助项目(2007AA12E345)
More Information
  • Received Date: February 19, 2010
  • Revised Date: February 19, 2010
  • Published Date: April 04, 2010
  • Multipath is the dominant error source in the structural vibration monitoring using GPS. In order to obtain the characteristics of structure natural vibration accurately, both the frequency characteristics of the multipath and the structural vibration are analyzed, then wavelet packet decomposition is employed to extract specifical components in different scales and spectral analysis is adopted for frequency characteristic analysis. Experimental results show that the wavelet packet can be used to separate multipah error and extract the vibration feature effectively. In addition, the actual vibration frequency obtained using GPS conforms its theoretical value and it has high stability.
  • Related Articles

    [1]LIN Dongfang, ZHU Jianjun. Improved Ridge Estimation with Singular Value Correction Constraints[J]. Geomatics and Information Science of Wuhan University, 2017, 42(12): 1834-1839. DOI: 10.13203/j.whugis20150581
    [2]XU Jian, CHANG Zhiguo, ZHANG Xiaodan. Image Super-resolution Based on Alternate K-Singular Value Decomposition[J]. Geomatics and Information Science of Wuhan University, 2017, 42(8): 1137-1143. DOI: 10.13203/j.whugis20150095
    [3]ZENG Xiaoniu, LIU Daizhi, LI Xihai, SU Juan, CHEN Dingxin, QI Wei. An Improved Singular Value Modification Method for Ill-posed Problems[J]. Geomatics and Information Science of Wuhan University, 2015, 40(10): 1349-1353. DOI: 10.13203/j.whugis20130709
    [4]YAO Yibin, KONG Jian. A New Combined LS Method Considering Random Errors of Design Matrix[J]. Geomatics and Information Science of Wuhan University, 2014, 39(9): 1028-1032. DOI: 10.13203/j.whugis20130030
    [5]TAO Xiaojing, ZHU Jianjun, TIAN Yumiao. Analysis of Factors Influencing Smoothing Parameter in Semiparametric Model[J]. Geomatics and Information Science of Wuhan University, 2012, 37(3): 298-301.
    [6]WANG Leyang, XU Caijun. Ridge Estimation Method in Inversion Problem with Ill-posed Constraint[J]. Geomatics and Information Science of Wuhan University, 2011, 36(5): 612-616.
    [7]LIAO Haibin, CHEN Qinghu, YAN Yuchen. 3D Face Reconstruction of Morphable Model and Its Improvement[J]. Geomatics and Information Science of Wuhan University, 2011, 36(2): 176-180.
    [8]WANG Leyang, XU Caijun, LU Tieding. Ridge Estimation Method in Ill-posed Weighted Total Least Squares Adjustment[J]. Geomatics and Information Science of Wuhan University, 2010, 35(11): 1346-1350.
    [9]ZHANG Yongjun, HU Binghua, ZHANG Jianqing. Absolute Orientation of Large Rotation Angle Images[J]. Geomatics and Information Science of Wuhan University, 2010, 35(4): 427-431.
    [10]ZHAO Hongrui, TANG Zhongshi, LI Xiaowen. A Regularization Parameter Choice Method on Nonlinear Ill-posed Quantitative Remote Sensing Inversion[J]. Geomatics and Information Science of Wuhan University, 2008, 33(6): 577-580.

Catalog

    Article views (845) PDF downloads (390) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return