Automated metrics to assess the performance of computational imaging systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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 languageEnglish
Title of host publication2023 IEEE Conference on Antenna Measurements and Applications (CAMA): proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages471-473
Number of pages3
ISBN (Electronic)9798350323047
ISBN (Print)9798350323054
DOIs
Publication statusPublished - 19 Dec 2023
Event2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023 - Genoa, Italy
Duration: 15 Nov 202317 Nov 2023

Publication series

NameIEEE Conference on Antenna Measurements and Applications, CAMA
ISSN (Print)2474-1760
ISSN (Electronic)2643-6795

Conference

Conference2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023
Country/TerritoryItaly
CityGenoa
Period15/11/202317/11/2023

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

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