• DocumentCode
    3133079
  • Title

    Application study on the least square deconvolution in GPR signal processing

  • Author

    Gang, Shi ; Yang-Jun, Tian ; Hua, Yang Xiao

  • Author_Institution
    Sch. of Sci., Chang´´an Univ., Xi´´an, China
  • Volume
    2
  • fYear
    2011
  • fDate
    20-21 Aug. 2011
  • Firstpage
    398
  • Lastpage
    401
  • Abstract
    Having the advantages such as non-destructivity and high precision, the ground penetrating radar (GPR) has been widely used in the quality control of highway engineering. But the post processing of the GPR signal still needs to be further studied. In this paper, the author applies the least square deconvolution to ground penetrating radar signal post-processing, presents its relevant theory and method, and gives specific implementation steps of the whole process. The actual testing effect of a highway pavement indicates that the corresponding anomalies in the radar image is in position, the boundaries and dividing lines become very clear, and the effect is obviously improved. The method provides an easier way to define the highway pavement thickness of each layer accurately.
  • Keywords
    deconvolution; ground penetrating radar; least squares approximations; radar imaging; GPR signal processing; ground penetrating radar; highway engineering; least square deconvolution; quality control; radar imaging; Equations; Ground penetrating radar; Mathematical model; Radar imaging; Roads; deconvolution; ground penetrating radar (GPR); highway engineering; quality detection; the least square;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Control and Industrial Engineering (CCIE), 2011 IEEE 2nd International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9599-3
  • Type

    conf

  • DOI
    10.1109/CCIENG.2011.6008148
  • Filename
    6008148