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Signal Enhancement and Complex Signal Analysis of GPR Based on Hilbert-Huang Transform

  • De-shan Feng
  • Cheng-shen Chen
  • Kai Yu
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 99)

Abstract

The theory of Hilbert-Huang transform and complex signal analysis technology are described. The EMD decomposition method is applied to decompose GPR forward profile, the intrinsic mode function GPR figures of different frequency ranges from high to low are obtained. According to different exploration goals, the intrinsic mode function GPR figures are reconstructed, thereby achieving the purpose of enhancing GPR signals. Then, the measured GPR profiles of traffic channel of Heimi Peak Pumped Storage Power Station are selected. Firstly, EMD decomposition is carried out on the profile to remove a part of noises, then, Hilbert-Huang transform is utilized to calculate the complex signal of GPR profiles, and independent instantaneous parameters are drawn out. According to different geological conditions corresponding to GPR three ‘instantaneous’ information respectively, multi-parameters are comprehensively analyzed, the compression function of EMD decomposition on noise is combined to avoid interpretation bias caused by using single time interval profile analysis, the abnormal information can be better reflected, and the resolution precision of GPR data is improved.

Keywords

ground penetrating radar empirical mode decomposition complex signal analysis Hilbert-Huang transform intrinsic mode function 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • De-shan Feng
    • 1
  • Cheng-shen Chen
    • 1
  • Kai Yu
    • 1
    • 2
  1. 1.School of Geosciences and Info-PhysicsCentral South UniversityChangshaChina
  2. 2.Reconnaissance, Planning, Design & Research InstituteMinistry of Water ResourcesZhengzhouChina

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