Research on The Algorithm of GPR Data Bandwidth Extension Based on Wavelet Transform

Enhancing the temporal resolution of Ground Penetrating Radar (GPR) data has been one of the primary goals in GPR data processing, as higher temporal resolution can yield more precise information on the subsurface structure. In subterranean medium, high-frequency electromagnetic waves weaken more quickly. As a result, the signal's high-frequency component shows comparatively weak energy when it is broken down into the continuous wavelet domain. Enhancing resolution means making up for the lost high-frequency energy in the continuous wavelet domain, assuming that the amplitude spectral energy of high-resolution GPR signals is roughly horizontal. This paper presents an algorithm for bandwidth extension using Continuous Wavelet Transform (CWT) and explores the selection of key parameters to enhance the resolution of GPR data. The effectiveness and feasibility of the proposed algorithm are validated using practical detection data.

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Publication Details

Published
2024-08-16
DOI
https://doi.org/10.1109/aces-china62474.2024.10699452
Primary Topic
Advanced Computational Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on The Algorithm of GPR Data Bandwidth Extension Based on Wavelet Transform

Anxue Zhang, Li Wang, Zhensheng Shi, Chenying Zheng
Advanced Computational Techniques and Applications
article

Research on The Algorithm of GPR Data Bandwidth Extension Based on Wavelet Transform

Anxue Zhang, Li Wang, Zhensheng Shi, Chenying Zheng
article en

Abstract

Enhancing the temporal resolution of Ground Penetrating Radar (GPR) data has been one of the primary goals in GPR data processing, as higher temporal resolution can yield more precise information on the subsurface structure. In subterranean medium, high-frequency electromagnetic waves weaken more quickly. As a result, the signal's high-frequency component shows comparatively weak energy when it is broken down into the continuous wavelet domain. Enhancing resolution means making up for the lost high-frequency energy in the continuous wavelet domain, assuming that the amplitude spectral energy of high-resolution GPR signals is roughly horizontal. This paper presents an algorithm for bandwidth extension using Continuous Wavelet Transform (CWT) and explores the selection of key parameters to enhance the resolution of GPR data. The effectiveness and feasibility of the proposed algorithm are validated using practical detection data.

Xi'an Jiaotong University (CN)
Research and Development
Affordable and clean energy
Openalex Percentile: Top 85%
Advanced Computational Techniques and Applications
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