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.
Foundation item: Projects(41074085,40804027) supported by the National Natural Science Foundation of China; Projects(09JJ3048) supported by the Hunan Natural Science Foundation.
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© 2011 Springer-Verlag Berlin Heidelberg
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Feng, Ds., Chen, Cs., Yu, K. (2011). Signal Enhancement and Complex Signal Analysis of GPR Based on Hilbert-Huang Transform. In: Wan, X. (eds) Electrical Power Systems and Computers. Lecture Notes in Electrical Engineering, vol 99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21747-0_46
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DOI: https://doi.org/10.1007/978-3-642-21747-0_46
Publisher Name: Springer, Berlin, Heidelberg
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