Presentation 2021-12-16
Sparse Reconstruction and Resolution Improving of Synthetic Aperture Radar using Deconvolution ISTA
Masanori Gocho,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The image reconstruction process of the SAR is generally implemented by the macthed filterling, but its resolution is constrained by the signal bandwidth of the radar. In this study, we discuss the resolution improvement of SAR (Synthetic Aperture Radar) using sparse reconstruction and propose a sparse reconstruction method, Deconvolution ISTA, to solve multi-dimensional convolutional probrems. The proposed method, which is an optimized version of the ISTA for the convolutional problems, can estimate a sparse source signal from an observed signal. In this paper, we formulate the SAR reconstruction and describe the proposed method, and show the experimental results using an airborne SAR data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Synthetic Aperture Radar / SAR / Sparse reconstruction / ISTA / Deconvolution
Paper # AP2021-130
Date of Issue 2021-12-09 (AP)

Conference Information
Committee AP
Conference Date 2021/12/16(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Kikai-Shinko-Kaikan Bldg.
Topics (in Japanese) (See Japanese page)
Topics (in English) Antennas and Propagation
Chair Hiroshi Yamada(Niigata Univ.)
Vice Chair Mitoshi Fujimoto(Fukui Univ)
Secretary Mitoshi Fujimoto(NTT DOCOMO)
Assistant Dr. Kim(Niigata Univ.)

Paper Information
Registration To Technical Committee on Antennas and Propagation
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Sparse Reconstruction and Resolution Improving of Synthetic Aperture Radar using Deconvolution ISTA
Sub Title (in English) Evaluation of the Effective Resolution
Keyword(1) Synthetic Aperture Radar
Keyword(2) SAR
Keyword(3) Sparse reconstruction
Keyword(4) ISTA
Keyword(5) Deconvolution
1st Author's Name Masanori Gocho
1st Author's Affiliation National Institute of Information and Communications Technology(NICT)
Date 2021-12-16
Paper # AP2021-130
Volume (vol) vol.121
Number (no) AP-305
Page pp.pp.7-12(AP),
#Pages 6
Date of Issue 2021-12-09 (AP)