Multi-Domain Feature Analysis and Application Research of GPR Aliased Signals

In radar detection of concrete structures, the significant differences in electromagnetic properties between rebar and concrete result in strong reflections at rebar interfaces. The electromagnetic waves reflected by the dual-layer rebar interfere with and superimpose, severely obscuring their characteristic signals, making accurate identification challenging. This study investigates the aliasing effect in ground-penetrating radar (GPR) signals through simulation analysis of aliased signals at different rebar spacings and examines their characteristics across the time, frequency, and time-frequency domains. Experimental results indicate amplitude increases in the time domain. The Hilbert transform effectively extracts instantaneous phase inversions, and STFT provides an intuitive time-frequency distribution, facilitating the extraction and analysis of signal features. Additionally, this study includes the design and implementation of an aliasing peak point extraction algorithm with a relative error of less than 10% in practical applications.

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Publication Details

Journal
Sensors
Published
2025-04-26
DOI
https://doi.org/10.3390/s25092741
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-Domain Feature Analysis and Application Research of GPR Aliased Signals

Xiaorong Wan, Y. Q. Wang, Qun Ma, Chuan Li
Sensors
Geophysical Methods and Applications
article

Multi-Domain Feature Analysis and Application Research of GPR Aliased Signals

Xiaorong Wan, Y. Q. Wang, Qun Ma, Chuan Li
article en

Abstract

In radar detection of concrete structures, the significant differences in electromagnetic properties between rebar and concrete result in strong reflections at rebar interfaces. The electromagnetic waves reflected by the dual-layer rebar interfere with and superimpose, severely obscuring their characteristic signals, making accurate identification challenging. This study investigates the aliasing effect in ground-penetrating radar (GPR) signals through simulation analysis of aliased signals at different rebar spacings and examines their characteristics across the time, frequency, and time-frequency domains. Experimental results indicate amplitude increases in the time domain. The Hilbert transform effectively extracts instantaneous phase inversions, and STFT provides an intuitive time-frequency distribution, facilitating the extraction and analysis of signal features. Additionally, this study includes the design and implementation of an aliasing peak point extraction algorithm with a relative error of less than 10% in practical applications.

SensorsVol. 25(9)
Kunming University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 89%
Geophysical Methods and Applications
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Multi-Domain Feature Analysis and Application Research of GPR Aliased Signals — Xiaorong Wan, Y. Q. Wang, et al. · Sensors (2025) | TGRS Research Map | TGRS