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High-resolution SAR imaging with angular diversity
Dept. of Electrical and Computer Engineering, University of Florida, USA.ORCID iD: 0000-0002-7599-4367
Dept. of Electrical and Computer Engineering, University of Florida, USA.
Department of Systems and Control, Uppsala University, Sweden.
Dept. of Electrical and Computer Engineering, University of Florida, USA.
2001 (English)In: IEEE Transactions on Aerospace and Electronic Systems, ISSN 0018-9251, E-ISSN 1557-9603, Vol. 37, no 4, 1359-1372 p.Article in journal (Refereed) Published
Abstract [en]

We propose to use the APES (amplitude and phase estimation) approach for the spectral estimation of gapped data and synthetic aperture radar (SAR) imaging with angular diversity. A relaxation-based algorithm, referred to as GAPES (Gapped-data APES), is proposed, which includes estimating the spectrum via APES and filling in the gaps via a least squares (LS) fitting. For SAR imaging with angular diversity data fusion, we perform one-dimensional (1-D) windowed fast Fourier transforms (FFTs) in range, use the GAPES algorithm to interpolate the gaps in the aperture for each range, apply 1-D inverse FFTs (IFFTs) and dewindow in range, and finally apply the two-dimensional (2-D) APES algorithm to the interpolated matrix to obtain the 2-D SAR image. Numerical results are presented to demonstrate the effectiveness of the proposed algorithm.

Place, publisher, year, edition, pages
2001. Vol. 37, no 4, 1359-1372 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-77137DOI: 10.1109/7.976971OAI: oai:DiVA.org:liu-77137DiVA: diva2:525160
Available from: 2012-05-07 Created: 2012-05-07 Last updated: 2017-12-07Bibliographically approved

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Larsson, Erik G.

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  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
  • text
  • asciidoc
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