Fourier-based image reconstruction algorithms for sparse SAR data

Vasiliki Skouroliakou*, Amir Masoud Molaei, Maria Garcia-Fernandez, Guillermo Alvarez-Narciandi, Rupesh Kumar, Okan Yurduseven

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Frequency domain image reconstruction algorithms offer significant advantages, especially for applications for which the reconstruction time is crucial. In the frequency domain, image reconstruction can be realized using fast Fourier transformations, reducing the complexity and thus the execution time of the reconstruction algorithm. In this paper, we adopt range migration techniques to reconstruct radar images from numerical and experimental data. The aim is to examine the robustness of the range migration algorithm (RMA) as a function of sampling sparsity under varying noise levels. Considering that sampling at Nyquist rates can be quite challenging for the conventional synthetic aperture radar (SAR) acquisition, we investigate the behavior of the reconstruction algorithm for larger sampling steps.

Original languageEnglish
Title of host publication2023 34th Irish Signals and Systems Conference, ISSC 2023: proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350340570
ISBN (Print)9798350340587
DOIs
Publication statusPublished - 03 Jul 2023
Event34th Irish Signals and Systems Conference, ISSC 2023 - Dublin, Ireland
Duration: 13 Jun 202314 Jun 2023

Publication series

Name Irish Signals and Systems Conference (ISSC): Proceedings
ISSN (Print)2688-1446
ISSN (Electronic)2688-1454

Conference

Conference34th Irish Signals and Systems Conference, ISSC 2023
Country/TerritoryIreland
CityDublin
Period13/06/202314/06/2023

Keywords

  • range migration techniques
  • sparse data
  • synthetic aperture radar

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing
  • Instrumentation

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