Abstract
In this work, a ground-based synthetic aperture radar (GB-SAR) system with a lightweight wideband antenna is developed for in-door radar imaging applications. Beamspace MUSIC algorithm is then employed to reconstruct the radar image from experimental data. We observed that the BS-MUSIC improves the resolution of the reconstruction by comparing the results with beamforming algorithms.
Original language | English |
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Title of host publication | Proceedings of the 2018 20th International Conference on Electromagnetics in Advanced Applications, ICEAA 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 213-216 |
Number of pages | 4 |
ISBN (Electronic) | 9781538667620 |
DOIs | |
Publication status | Published - 1 Nov 2018 |
Event | 20th International Conference on Electromagnetics in Advanced Applications, ICEAA 2018 - Cartagena de Indias, Colombia Duration: 10 Sept 2018 → 14 Sept 2018 |
Publication series
Name | Proceedings of the 2018 20th International Conference on Electromagnetics in Advanced Applications, ICEAA 2018 |
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Conference
Conference | 20th International Conference on Electromagnetics in Advanced Applications, ICEAA 2018 |
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Country/Territory | Colombia |
City | Cartagena de Indias |
Period | 10/09/18 → 14/09/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Funding
This work is supported by Bogazici University Research Fund under grant 14320.
Funders | Funder number |
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Bogazici University Research Fund | 14320 |
Keywords
- Beamforming
- BS-MUSIC
- Gb-SAR.
- Lightweight antenna
- Radar Imaging
- SAR