Analysis and Modeling of GPR Signals to Detect Cavities: Case Studies in Morocco

Autor: Gamil Alsharahi, Ahmed Faize, Carmen Maftei, Mohamed Bayjja, Mohamed Louzazni, Abdellah Driouach, Abdellatif Khamlichi
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Journal of the Korean Institute of Electromagnetic Engineering and Science, Vol 19, Iss 3, Pp 177-187 (2019)
Druh dokumentu: article
ISSN: 2234-8409
2234-8395
DOI: 10.26866/jees.2019.19.3.177
Popis: This research studied the detection of cavities and other abnormalities in subsoil utilizing ground penetrating radar (GPR) and an algorithm developed under MATLAB. The study also analyzed and modeled GPR signals to find the exact location of cavities in the subsoil. The algorithm was based on the finite difference time domain (FDTD) method to simulate cavities and compare them with an experimental study. This study used GPR with 400 MHz and 200 MHz to investigate and detect cavities. Three different areas were chosen with different proprieties of subsoil to detect the cavities: mountainous, coastal, and lowland areas. The results show high accuracy in the detection of cavities using GPR.
Databáze: Directory of Open Access Journals