Electromagnetic Imaging System Calibration With 2-Port Error Models
Calibration is essential in electromagnetic imaging for converting the raw measurements to a usable form for the imaging algorithm. The complexity of the calibration technique can range between a simple comparison of the raw measurement to those of a known calibration target, to a comprehensive simu...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Open Journal of Antennas and Propagation |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10304280/ |
| _version_ | 1797319563971395584 |
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| author | Seth Cathers Joe LoVetri Ian Jeffrey Colin Gilmore |
| author_facet | Seth Cathers Joe LoVetri Ian Jeffrey Colin Gilmore |
| author_sort | Seth Cathers |
| collection | DOAJ |
| description | Calibration is essential in electromagnetic imaging for converting the raw measurements to a usable form for the imaging algorithm. The complexity of the calibration technique can range between a simple comparison of the raw measurement to those of a known calibration target, to a comprehensive simulation of the entire imaging chamber. This work introduces a novel approach to calibration that models the antennas and field propagation as 2-port networks (rather than scalars or a comprehensive model), for which common network theory and de-embedding techniques can be applied. The accuracy of the proposed 2-port method is experimentally tested against the scalar calibration technique on a 2D imaging system. The use of both metallic and dielectric calibration objects is tested, and the inversion performance is compared for the calibration techniques. For the experimental system tested herein, the use of a 2-port model for each transmitter/receive antenna pair moderately improved both calibration accuracy and image quality compared to a simple scalar calibration coefficient, for the cost of measuring a minimum of 2 known calibration targets. |
| first_indexed | 2024-03-08T04:08:47Z |
| format | Article |
| id | doaj.art-967a257971b440478f6079cf9c3eb717 |
| institution | Directory Open Access Journal |
| issn | 2637-6431 |
| language | English |
| last_indexed | 2024-03-08T04:08:47Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Antennas and Propagation |
| spelling | doaj.art-967a257971b440478f6079cf9c3eb7172024-02-09T00:04:05ZengIEEEIEEE Open Journal of Antennas and Propagation2637-64312023-01-0141142115310.1109/OJAP.2023.332935610304280Electromagnetic Imaging System Calibration With 2-Port Error ModelsSeth Cathers0https://orcid.org/0000-0002-5242-2876Joe LoVetri1https://orcid.org/0000-0001-9882-0004Ian Jeffrey2https://orcid.org/0000-0003-1312-3248Colin Gilmore3https://orcid.org/0000-0002-6958-3545Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, CanadaDepartment of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, CanadaDepartment of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, CanadaDepartment of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, CanadaCalibration is essential in electromagnetic imaging for converting the raw measurements to a usable form for the imaging algorithm. The complexity of the calibration technique can range between a simple comparison of the raw measurement to those of a known calibration target, to a comprehensive simulation of the entire imaging chamber. This work introduces a novel approach to calibration that models the antennas and field propagation as 2-port networks (rather than scalars or a comprehensive model), for which common network theory and de-embedding techniques can be applied. The accuracy of the proposed 2-port method is experimentally tested against the scalar calibration technique on a 2D imaging system. The use of both metallic and dielectric calibration objects is tested, and the inversion performance is compared for the calibration techniques. For the experimental system tested herein, the use of a 2-port model for each transmitter/receive antenna pair moderately improved both calibration accuracy and image quality compared to a simple scalar calibration coefficient, for the cost of measuring a minimum of 2 known calibration targets.https://ieeexplore.ieee.org/document/10304280/Inverse problemscalibrationelectromagnetic tomographymicrowave imagingmodeling |
| spellingShingle | Seth Cathers Joe LoVetri Ian Jeffrey Colin Gilmore Electromagnetic Imaging System Calibration With 2-Port Error Models IEEE Open Journal of Antennas and Propagation Inverse problems calibration electromagnetic tomography microwave imaging modeling |
| title | Electromagnetic Imaging System Calibration With 2-Port Error Models |
| title_full | Electromagnetic Imaging System Calibration With 2-Port Error Models |
| title_fullStr | Electromagnetic Imaging System Calibration With 2-Port Error Models |
| title_full_unstemmed | Electromagnetic Imaging System Calibration With 2-Port Error Models |
| title_short | Electromagnetic Imaging System Calibration With 2-Port Error Models |
| title_sort | electromagnetic imaging system calibration with 2 port error models |
| topic | Inverse problems calibration electromagnetic tomography microwave imaging modeling |
| url | https://ieeexplore.ieee.org/document/10304280/ |
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