3D image reconstruction algorithm for a sparse array radar system based on compressive sensing

Iakov Chernyak, Motoyuki Sato

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

2 Citations (Scopus)

Abstract

We developed a SFCW sparse array radar system for 3D imaging, which consists from 16 transmitters and 16 receivers and operates at the frequency range from 270MHz to 8GHz. The 2D antenna array layout was optimized using the middle point approximation. Several image reconstruction methods, which include the least square, Compressive Sampling Matching Pursuit and Regularized Orthogonal Matching Pursuit were developed and applied to the data acquired by the system to improve the resolution and suppress the artifacts caused by the antenna sparsity. The developed methods showed better performance compared to the conventional ones while they have the equivalent robustness. In addition, we propose to include the antenna radiation pattern into the image reconstruction algorithm, and we demonstrated that it gives better convergence and reduces artifacts on the results for the near range measurements. The proposed methods was successfully validated by the laboratory experiments.

Original languageEnglish
Title of host publication2017 IEEE International Geoscience and Remote Sensing Symposium
Subtitle of host publicationInternational Cooperation for Global Awareness, IGARSS 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2392-2395
Number of pages4
ISBN (Electronic)9781509049516
DOIs
Publication statusPublished - 2017 Dec 1
Event37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth, United States
Duration: 2017 Jul 232017 Jul 28

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2017-July

Other

Other37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Country/TerritoryUnited States
CityFort Worth
Period17/7/2317/7/28

Keywords

  • 3D imaging
  • Compressive Sensing
  • Sparse array
  • antenna layout
  • radar
  • sparse reconstruction

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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