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Spectral estimation of gapped data and SAR imaging with angular diversity

Larsson, Erik G. (author)
Dept. of Electrical and Computer Engineering, University of Florida, USA
Li, Jian (author)
Dept. of Electrical and Computer Engineering, University of Florida, USA
Stoica, Petre (author)
Dept. of Systems and Control, Uppsala University, Sweden
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Liu, Guoqing (author)
Dept. of Electrical and Computer Engineering, University of Florida, USA
Williams, Rob (author)
Air Force Research Laboratory, Wright Patterson Air Force Base, USA
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Dept of Electrical and Computer Engineering, University of Florida, USA Dept. of Systems and Control, Uppsala University, Sweden (creator_code:org_t)
SPIE, 2001
2001
English.
In: Proceedings of SPIE Vol. 4382. - : SPIE. ; , s. 60-71
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • 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.

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TECHNOLOGY
TEKNIKVETENSKAP

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Larsson, Erik G.
Li, Jian
Stoica, Petre
Liu, Guoqing
Williams, Rob
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Linköping University

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