Towards Frequency-Diverse Computational Imaging with cRR-Based Metasurfaces for Ground Penetrating Radar

Ground penetrating radar (GPR) is a well-established technology for detecting buried targets using electromagnetic waves at microwave frequencies. In addition, by resorting to synthetic aperture radar (SAR) techniques, high-resolution radar images of the subsurface can be retrieved. However, this re...

Full description

Saved in:
Bibliographic Details
Published inIGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium pp. 6443 - 6446
Main Authors Garcia-Fernandez, M., Alvarez-Narciandi, G., Yurduseven, O.
Format Conference Proceeding
LanguageEnglish
Published IEEE 07.07.2024
Subjects
Computational Imaging
Frequency-diversity
Ground penetrating radar
Image coding
Radar imaging
Resonant frequency
Simulation
Soil
Subsurface Imaging
Surveys
Online AccessGet full text

Cover

More Information
Summary:Ground penetrating radar (GPR) is a well-established technology for detecting buried targets using electromagnetic waves at microwave frequencies. In addition, by resorting to synthetic aperture radar (SAR) techniques, high-resolution radar images of the subsurface can be retrieved. However, this requires gathering measurements across the whole inspected scene, at a dense sampling rate, which results in a slow survey speed. To address this challenge, single-channel computational imaging (CI) systems relying on compressive antennas have been successfully employed for free-space scenarios. In this contribution, a compressive metasurface-based antenna populated with complementary ring resonators and specifically designed for GPR applications is presented. Simulation results show that with this antenna, buried targets can be imaged from a single acquisition.
ISSN:2153-7003
DOI:10.1109/IGARSS53475.2024.10641331