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

Iakov Chernyak, Motoyuki Sato

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2017 IEEE International Geoscience and Remote Sensing Symposium
ホスト出版物のサブタイトルInternational Cooperation for Global Awareness, IGARSS 2017 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ2392-2395
ページ数4
ISBN(電子版)9781509049516
DOI
出版ステータスPublished - 2017 12 1
イベント37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth, United States
継続期間: 2017 7 232017 7 28

出版物シリーズ

名前International Geoscience and Remote Sensing Symposium (IGARSS)
2017-July

Other

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

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 地球惑星科学(全般)

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