Please use this identifier to cite or link to this item:
Title: Dual-cross-polarized GPR measurement method for detection and orientation estimation of shallowly buried elongated object
Authors: Sun, Hai-Han
Lee, Yee Hui
Luo, Wenhao
Ow, Lai Fern
Mohamed Lokman Mohd Yusof
Yucel, Abdulkadir C.
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2021
Source: Sun, H., Lee, Y. H., Luo, W., Ow, L. F., Mohamed Lokman Mohd Yusof & Yucel, A. C. (2021). Dual-cross-polarized GPR measurement method for detection and orientation estimation of shallowly buried elongated object. IEEE Transactions On Instrumentation and Measurement, 70, 8004912-.
Journal: IEEE Transactions on Instrumentation and Measurement
Abstract: Detecting a shallowly buried and elongated object and estimating its orientation using a commonly adopted co-polarized GPR system is challenging due to the presence of strong ground clutter that masks the target reflection. A cross-polarized configuration can be used to suppress ground clutter and reveal the object reflection, but it suffers from inconsistent detection capability which significantly varies with different object orientations. To address this issue, we propose a dual-cross-polarized detection (DCPD) method which utilizes two cross-polarized antennas with a special arrangement to detect the object. The signals reflected by the object and collected by the two antennas are combined in a rotationally invariant manner to ensure both effective ground clutter suppression and consistent detection irrespective of the object orientation. In addition, we present a dual-cross-polarized orientation estimation (DCPOE) algorithm to estimate the object orientation from the two cross-polarized data. The proposed DCPOE algorithm is less affected by environmental noise and performs robust and accurate azimuth angle estimation. The effectiveness of the proposed techniques on the detection and orientation estimation and their advantages over the existing method have been demonstrated using experimental data. Comparison results show that the maximum and average errors are 22.3° and 10.9° for the Alford rotation algorithm, while those are 4.9° and 1.8° for the proposed DCPOE algorithm in the demonstrated shallowly buried object cases. The proposed techniques can be unified in a framework to facilitate the investigation and mapping of shallowly buried and elongated targets.
ISSN: 0018-9456
DOI: 10.1109/TIM.2021.3116292
Schools: School of Electrical and Electronic Engineering 
Rights: © 2021 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

Citations 20

Updated on May 25, 2023

Web of ScienceTM
Citations 20

Updated on May 27, 2023

Page view(s)

Updated on Jun 1, 2023

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.