Material Permittivity Estimation Using Analytic Peak Ratio of Air-Coupled GPR Signatures

• Published in: IEEE access Vol. 10; pp. 13219 - 13228
• Main Authors: Rohman, Budiman P. A., Nishimoto, Masahiko, Ogata, Kohichi
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; analytic signal; Antenna measurements; Configurations; Construction materials; Estimation; Ground penetrating radar; Inspection; Interpolation; Measurement techniques; Permittivity; Permittivity estimation; Permittivity measurement; Radar; Radar equipment; Radar range; radar signal processing; Radar signatures; Reflection; Reinforced concrete; Structural analysis; Time domain analysis
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2022.3147217

Ground penetrating radar (GPR) is widely applied for civil engineering, such as for building health assessments or pavement inspections. In these applications, information on the material permittivity is important for internal structure inspection and characterization. However, in the case of a large building area, a lightweight, fast and effective permittivity measurement technique is required. In addition, the estimation method for different GPR types and range configurations must be generalized for adaptability and wide applicability. This paper proposes a material permittivity estimation technique for air-coupled GPR that effectively works for mobile and large observation missions. The method employs the peak ratio of analytic representation signals between the antenna direct coupling and the material surface reflection. An interpolation algorithm is applied to the reference characteristic curves generated by the finite-difference time-domain technique to adapt the change in radar range configuration. The proposed method has been tested to estimate the permittivity in three different construction materials and measure two metal rebar depths inside reinforced concrete. The experimental results show that the method works with acceptable accuracy. Therefore, the method is sufficiently promising to be utilized in real applications, especially those that require adaptability and mobility, such as ground and aerial vehicle-based radar systems.