Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique
A microwave characterization technique to inspect subsurface scenarios is proposed and numerically assessed in this paper. The approach is based on a combination of finite element electromagnetic modeling and an inversion procedure in Lebesgue spaces with variable exponents. The former allows for de...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/1/167 |
| _version_ | 1797431238974242816 |
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| author | Valentina Schenone Claudio Estatico Gian Luigi Gragnani Matteo Pastorino Andrea Randazzo Alessandro Fedeli |
| author_facet | Valentina Schenone Claudio Estatico Gian Luigi Gragnani Matteo Pastorino Andrea Randazzo Alessandro Fedeli |
| author_sort | Valentina Schenone |
| collection | DOAJ |
| description | A microwave characterization technique to inspect subsurface scenarios is proposed and numerically assessed in this paper. The approach is based on a combination of finite element electromagnetic modeling and an inversion procedure in Lebesgue spaces with variable exponents. The former allows for description of the measurement system and subsurface scenario with high accuracy, while the latter exploits the adaptive definition of exponent function to achieve improved results in the regularized solution of the inverse scattering problem. The method has been assessed with numerical simulations regarding two-layered environments with both planar and non-planar air–soil interfaces. The results show the capabilities of the method of detecting buried objects in different operative conditions. |
| first_indexed | 2024-03-09T09:42:01Z |
| format | Article |
| id | doaj.art-c1cb6f7d9fba40ea834ed977b028663a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T09:42:01Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-c1cb6f7d9fba40ea834ed977b028663a2023-12-02T00:53:52ZengMDPI AGSensors1424-82202022-12-0123116710.3390/s23010167Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces TechniqueValentina Schenone0Claudio Estatico1Gian Luigi Gragnani2Matteo Pastorino3Andrea Randazzo4Alessandro Fedeli5Department of Electrical, Electronic, Telecommunications Engineering, and Naval Architecture, University of Genoa, 16145 Genoa, ItalyDepartment of Mathematics, University of Genoa, 16146 Genoa, ItalyDepartment of Electrical, Electronic, Telecommunications Engineering, and Naval Architecture, University of Genoa, 16145 Genoa, ItalyDepartment of Electrical, Electronic, Telecommunications Engineering, and Naval Architecture, University of Genoa, 16145 Genoa, ItalyDepartment of Electrical, Electronic, Telecommunications Engineering, and Naval Architecture, University of Genoa, 16145 Genoa, ItalyDepartment of Electrical, Electronic, Telecommunications Engineering, and Naval Architecture, University of Genoa, 16145 Genoa, ItalyA microwave characterization technique to inspect subsurface scenarios is proposed and numerically assessed in this paper. The approach is based on a combination of finite element electromagnetic modeling and an inversion procedure in Lebesgue spaces with variable exponents. The former allows for description of the measurement system and subsurface scenario with high accuracy, while the latter exploits the adaptive definition of exponent function to achieve improved results in the regularized solution of the inverse scattering problem. The method has been assessed with numerical simulations regarding two-layered environments with both planar and non-planar air–soil interfaces. The results show the capabilities of the method of detecting buried objects in different operative conditions.https://www.mdpi.com/1424-8220/23/1/167finite elementinverse scatteringLebesgue spacessubsurface imaging |
| spellingShingle | Valentina Schenone Claudio Estatico Gian Luigi Gragnani Matteo Pastorino Andrea Randazzo Alessandro Fedeli Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique Sensors finite element inverse scattering Lebesgue spaces subsurface imaging |
| title | Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique |
| title_full | Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique |
| title_fullStr | Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique |
| title_full_unstemmed | Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique |
| title_short | Microwave-Based Subsurface Characterization through a Combined Finite Element and Variable Exponent Spaces Technique |
| title_sort | microwave based subsurface characterization through a combined finite element and variable exponent spaces technique |
| topic | finite element inverse scattering Lebesgue spaces subsurface imaging |
| url | https://www.mdpi.com/1424-8220/23/1/167 |
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