Diameter Estimation of Cylindrical Metal Bar Using Wideband Dual-Polarized Ground-Penetrating Radar
Hai-Han Sun, Weixia Cheng, Zheng Fan

TL;DR
This paper introduces a novel reflection power-based method using wideband dual-polarized GPR to accurately estimate the diameter of small subsurface metal bars, overcoming resolution limits of traditional reflection pattern methods.
Contribution
The paper presents a new approach that relates the maximum reflected signal power to bar diameter, enabling precise sizing with simple, real-time operation.
Findings
Achieves less than 10% error in diameter estimation
Effective across various GPR frequencies and subsurface conditions
Demonstrates high accuracy and real-time applicability
Abstract
Ground-penetrating radar (GPR) has been an effective technology for locating metal bars in civil engineering structures. However, the accurate sizing of subsurface metal bars of small diameters remains a challenging problem for the existing reflection pattern-based method due to the limited resolution of GPR. To address the issue, we propose a reflection power-based method by exploring the relationship between the bar diameter and the maximum power of the bar reflected signal obtained by a wideband dual-polarized GPR, which circumvents the resolution limit of the existing pattern-based method. In the proposed method, the theoretical relationship between the bar diameter and the power ratio of the bar reflected signals acquired by perpendicular and parallel polarized antennas is established via the inherent scattering width of the metal bar and the wideband spectrum of the bar reflected…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGeophysical Methods and Applications · Microwave Imaging and Scattering Analysis · Indoor and Outdoor Localization Technologies
