自然科学版 英文版
自然科学版 英文版
自然科学版 英文版

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中南大学学报(英文版)

Journal of Central South University

Vol. 25    No. 4    April 2018

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A quantitative analysis method for GPR signals based on optimal biorthogonal wavelet
LIU Hao-ran(刘浩然)1, LING Tong-hua(凌同华)1, LI Di-yuan(李地元)2, HUANG Fu(黄阜)1, ZHANG Liang(张亮)1

1. School of Civil Engineering and Architecture, Changsha University of Science & Technology,Changsha 410114, China; 2. School of Resources and Safety Engineering, Central South University, Changsha 410006, China

Abstract:Due to the disturbances arising from the coherence of reflected waves and from echo noise, problems such as limitations, instability and poor accuracy exist with the current quantitative analysis methods. According to the intrinsic features of GPR signals and wavelet time–frequency analysis, an optimal wavelet basis named GPR3.3 wavelet is constructed via an improved biorthogonal wavelet construction method to quantitatively analyse the GPR signal. A new quantitative analysis method based on the biorthogonal wavelet (the QAGBW method) is proposed and applied in the analysis of analogue and measured signals. The results show that compared with the Bayesian frequency-domain blind deconvolution and with existing wavelet bases, the QAGBW method based on optimal wavelet can limit the disturbance from factors such as the coherence of reflected waves and echo noise, improve the quantitative analytical precision of the GPR signal, and match the minimum thickness for quantitative analysis with the vertical resolution of GPR detection.

 

Key words: GPR detection signal; quantitative analysis; wavelet time–frequency analysis; biorthogonal wavelet basis

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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