Abstract
Computational imaging (CI) has emerged as a promising alternative to overcome some drawbacks of conventional radar imaging systems. CI relies on using compressive antennas to achieve physical layer compression. However, as these antennas radiate quasi-random spatially incoherent patterns and they operate in the near-field, commonly used merit figures for conventional imaging systems do not always provide an accurate characterization of the performance of CI imagers. This paper proposes several metrics, which are computed automatically, to quantitatively analyze the expected imaging performance.
Original language | English |
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Title of host publication | 2023 IEEE Conference on Antenna Measurements and Applications (CAMA): proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 471-473 |
Number of pages | 3 |
ISBN (Electronic) | 9798350323047 |
ISBN (Print) | 9798350323054 |
DOIs | |
Publication status | Published - 19 Dec 2023 |
Event | 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023 - Genoa, Italy Duration: 15 Nov 2023 → 17 Nov 2023 |
Publication series
Name | IEEE Conference on Antenna Measurements and Applications, CAMA |
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ISSN (Print) | 2474-1760 |
ISSN (Electronic) | 2643-6795 |
Conference
Conference | 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023 |
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Country/Territory | Italy |
City | Genoa |
Period | 15/11/2023 → 17/11/2023 |
Bibliographical note
Funding Information:This work has been partially supported by the Leverhulme Trust through Research Leadership Award under Grant RL-2019-019, and by the UKRI Postdoctoral Fellowship Guarantee for MSCA PF under Project EP/X022943/1 and Project EP/X022951/1.
Publisher Copyright:
© 2023 IEEE.
Keywords
- Computational Imaging (CI)
- performance metrics
- radar imaging
ASJC Scopus subject areas
- Computer Networks and Communications
- Instrumentation
- Radiation