Abstract
Compressive Radar Imaging, also called Computational Imaging (CI), has gained increasing importance in the last few years. CI enables to drastically increase the acquisition speed compared to conventional radar imaging systems (e.g., based on Synthetic Aperture Radar, SAR), which need to densely sample the area under investigation. However, the vast majority of research in CI has been devoted to free-space applications. Hence, this contribution highlights the opportunities and challenges of resorting to CI for through-the-wall sensing. In addition, these benefits and difficulties are illustrated by analyzing an application example, where a CI system is employed to detect targets hidden behind two different walls.
Original language | English |
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Title of host publication | IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI 2024): proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1129-1130 |
Number of pages | 2 |
ISBN (Electronic) | 9798350369908 |
ISBN (Print) | 9798350369915 |
DOIs | |
Publication status | Published - 30 Sept 2024 |
Event | Antennas and Propagation & USNC/URSI National Radio Science Meeting 2024 - Florence, Italy Duration: 14 Jul 2024 → 19 Jul 2024 https://2024.apsursi.org/ |
Publication series
Name | Antennas and Propagation & USNC/URSI National Radio Science Meeting |
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ISSN (Print) | 1522-3965 |
ISSN (Electronic) | 1947-1491 |
Conference
Conference | Antennas and Propagation & USNC/URSI National Radio Science Meeting 2024 |
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Abbreviated title | IEEE AP-S 2024 |
Country/Territory | Italy |
City | Florence |
Period | 14/07/2024 → 19/07/2024 |
Internet address |
Keywords
- compressive radar imaging
- computational imaging
- radar imaging
- synthetic aperture radar