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Spectral estimation of gapped data and 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.
Dept. of Systems and Control, Uppsala University, Sweden.
Dept. of Electrical and Computer Engineering, University of Florida, USA.
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2001 (English)In: Proceedings of SPIE Vol. 4382, 2001, 60-71 p.Conference paper, Published paper (Refereed)
Abstract [en]

The Amplitude and Phase EStimation (APES) approach to amplitude spectrum estimation has been receiving considerably attention recently. We develop an extension of APES for the spectral estimation of gapped (incomplete) data and apply it to synthetic aperture radar (SAR) imaging with angular diversity. It has recently been shown that APES minimizes a certain least-squares criterion with respect to the estimate of the spectrum. Our new algorithm is called gapped-data APES and is based on minimizing this criterion with respect to the missing data as well. Numerical results are presented to demonstrate the effectiveness of the proposed algorithm and its applicability to SAR imaging with angular diversity.

Place, publisher, year, edition, pages
2001. 60-71 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-77412DOI: 10.1117/12.438239OAI: oai:DiVA.org:liu-77412DiVA: diva2:526784
Conference
Algorithms for Synthetic Aperture Radar Imagery VIII
Available from: 2012-05-15 Created: 2012-05-15 Last updated: 2016-08-31Bibliographically approved

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Larsson, Erik G.

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • Other style
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  • nn-NB
  • sv-SE
  • Other locale
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