Abstract
This study focused on analyzing the effectiveness of Gaussian radio pulse for dielectric object detection and reconstruction in diffraction phenomena. The study utilized MATLAB to create a program for generating animation illustrating dynamic changes in the field distribution on a 2D plane, specifically focusing on interactions with dielectric objects and identifying the first and second echo states over time in recorded snapshots. In addition, based on the first and second echo values obtained, an algorithm was presented to reconstruct the dielectric object shape. The study demonstrated the precise reconstruction of objects, such as circular and elliptical cylinders, by applying a Gaussian radio pulse, showcasing the potential accuracy of the method.
Original language | English |
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Title of host publication | 2024 International Applied Computational Electromagnetics Society Symposium, ACES 2024 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781733509671 |
Publication status | Published - 2024 |
Event | 2024 International Applied Computational Electromagnetics Society Symposium, ACES 2024 - Orlando, United States Duration: 19 May 2024 → 22 May 2024 |
Publication series
Name | 2024 International Applied Computational Electromagnetics Society Symposium, ACES 2024 |
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Conference
Conference | 2024 International Applied Computational Electromagnetics Society Symposium, ACES 2024 |
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Country/Territory | United States |
City | Orlando |
Period | 19/05/24 → 22/05/24 |
Bibliographical note
Publisher Copyright:© 2024 The Applied Computational Electromagnetics Society.
Keywords
- dielectric object shape reconstruction
- EM diffraction
- Gaussian radio pulse
- MAS