Analysis and Validation of a Hybrid Forward-Looking Down-Looking Ground Penetrating Radar Architecture
Autor: | Maria Garcia-Fernandez, Fernando Las-Heras Andres, Guillermo Alvarez-Narciandi, Yuri Álvarez López |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Synthetic aperture radar
010504 meteorology & atmospheric sciences Computer science Frequency band Real-time computing 0211 other engineering and technologies Improvised Explosive Device 02 engineering and technology 01 natural sciences Ground Penetrating Radar Synthetic Aperture Radar law.invention Reduction (complexity) landmine law Radar lcsh:Science 021101 geological & geomatics engineering 0105 earth and related environmental sciences Signal processing Dynamic range imaging Ground-penetrating radar General Earth and Planetary Sciences Clutter lcsh:Q radar |
Zdroj: | Remote Sensing Volume 13 Issue 6 Pages: 1206 Scopus RUO. Repositorio Institucional de la Universidad de Oviedo instname Remote Sensing, Vol 13, Iss 1206, p 1206 (2021) |
ISSN: | 2072-4292 |
DOI: | 10.3390/rs13061206 |
Popis: | Ground Penetrating Radar (GPR) has proved to be a successful technique for the detection of landmines and Improvised Explosive Devices (IEDs) buried in the ground. In the last years, novel architectures for safe and fast detection, such as those based on GPR systems onboard Unmanned Aerial Vehicles (UAVs), have been proposed. Furthermore, improvements in GPR hardware and signal processing techniques have resulted in a more efficient detection. This contribution presents an experimental validation of a hybrid Forward-Looking–Down-Looking GPR architecture. The main goal of this architecture is to combine advantages of both GPR architectures: reduction of clutter coming from the ground surface in the case of Forward-Looking GPR (FLGPR), and greater dynamic range in the case of Down-Looking GPR (DLGPR). Compact radar modules working in the lower SHF frequency band have been used for the validation of the hybrid architecture, which involved realistic targets. |
Databáze: | OpenAIRE |
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