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  • Glentis, George-Othan, et al. (author)
  • SAR Imaging via Efficient Implementations of Sparse ML Approaches
  • 2014
  • In: Signal Processing. - : Elsevier BV. - 0165-1684. ; 95:February, s. 15-26
  • Journal article (peer-reviewed)abstract
    • High-resolution spectral estimation techniques are of notable interest for synthetic aperture radar (SAR) imaging. Several sparse estimation techniques have been shown to provide significant performance gains as compared to conventional approaches. We consider efficient implementation of the recent iterative sparse maximum likelihood-based approaches (SMLAs). Furthermore, we present approximative fast SMLA formulation using the Quasi-Newton approach, as well as consider hybrid SMLA-MAP algorithms. The effectiveness of the discussed techniques is illustrated using numerical and experimental examples.
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Type of publication
journal article (1)
Type of content
peer-reviewed (1)
Author/Editor
Jakobsson, Andreas (1)
Glentis, George-Otha ... (1)
Li, Jian (1)
Zhao, Kexin (1)
Abeida, Habti (1)
University
Lund University (1)
Language
English (1)
Research subject (UKÄ/SCB)
Natural sciences (1)
Year
2014 (1)

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