Synthetic Aperture Radar Imaging System for Landmine Detection Using a Ground Penetrating Radar on Board a Unmanned Aerial Vehicle
Maria Garcia Fernandez,
Yuri Alvarez Lopez,
Ana Arboleya Arboleya,
Borja Gonzalez Valdes,
Yolanda Rodriguez Vaqueiro,
Fernando Las-Heras Andres,
Antonio Pino Garcia
Affiliations
Maria Garcia Fernandez
Área de Teoría de la Señal y Comunicaciones, Departamento de Ingeniería Eléctrica, Universidad de Oviedo, Gijón, Spain
Área de Teoría de la Señal y Comunicaciones, Departamento de Ingeniería Eléctrica, Universidad de Oviedo, Gijón, Spain
Ana Arboleya Arboleya
Departamento de Teoría de la Señal y las Comunicaciones y Sistemas Telemáticos y Computación, Universidad Rey Juan Carlos, Madrid, Spain
Borja Gonzalez Valdes
Departamento de Teoria do Sinal e Comunicacions, Universidade de Vigo, Vigo, Spain
Yolanda Rodriguez Vaqueiro
Departamento de Teoria do Sinal e Comunicacions, Universidade de Vigo, Vigo, Spain
Fernando Las-Heras Andres
Área de Teoría de la Señal y Comunicaciones, Departamento de Ingeniería Eléctrica, Universidad de Oviedo, Gijón, Spain
Antonio Pino Garcia
Departamento de Teoria do Sinal e Comunicacions, Universidade de Vigo, Vigo, Spain
This paper presents a novel system to obtain images from the underground based on ground penetrating radar (GPR). The proposed system is composed by a radar module mounted on board an unmanned aerial vehicle (UAV), which allows the safe inspection of difficult-to-access areas without being in direct contact with the soil. Therefore, it can be used to detect dangerous buried objects, such as landmines. The radar measurements are coherently combined using a synthetic aperture radar (SAR) algorithm, which requires cm-level accuracy positioning system. In addition, a clutter removal technique is applied to mitigate the reflection at the air-soil interface (which is caused by impedance mismatching). Besides the aforementioned advantages, the system can detect both metallic and dielectric targets (due to the use of a radar instead of a metal detector) and it allows to obtain high-resolution underground images (due to the SAR processing). The algorithms and the UAV payload are validated with measurements in both controlled and real scenarios, showing the feasibility of the proposed system.