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      • Department of Electrical and Electronics Engineering
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      Autofocused spotlight SAR image reconstruction of off-grid sparse scenes

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      Author(s)
      Camlıca, S.
      Gurbuz, A. C.
      Arıkan, Orhan
      Date
      2017
      Source Title
      IEEE Transactions on Aerospace and Electronic Systems
      Print ISSN
      0018-9251
      Publisher
      Institute of Electrical and Electronics Engineers Inc.
      Volume
      53
      Issue
      4
      Pages
      1880 - 1892
      Language
      English
      Type
      Article
      Item Usage Stats
      208
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      254
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      Abstract
      Synthetic aperture radar (SAR) has significant role in remote sensing. Phase errors due to uncompensated platform motion, measurement model mismatch, and measurement noise can cause degradations in SAR image reconstruction. For efficient processing of the measurements, image plane is discretized and autofocusing algorithms on this discrete grid are employed. However, in addition to the platform motion errors, the reflectors, which are not exactly on the reconstruction grid, also degrade the image quality. This is called the off-grid target problem. In this paper, a sparsity-based technique is developed for autofocused spotlight SAR image reconstruction that can correct phase errors due to uncompensated platform motion and provide robust images in the presence of off-grid targets. The proposed orthogonal matching pursuit-based reconstruction technique uses gradient descent parameter updates with built in autofocus. The technique can reconstruct high-quality images by using sub Nyquist rate of sampling on the reflected signals at the receiver. The results obtained using both simulated and real SAR system data show that the proposed technique provides higher quality reconstructions over alternative techniques in terms of commonly used performance metrics.
      Keywords
      Autofocus
      Compressive sensing (CS)
      Off-grid
      Radar
      Sparse
      Spotlight synthetic aperture radar (SAR)
      Communication channels (information theory)
      Errors
      Image processing
      Image reconstruction
      Phase noise
      Remote sensing
      Synthetic aperture radar
      High quality images
      Orthogonal matching pursuit
      Performance metrics
      Reconstruction techniques
      Permalink
      http://hdl.handle.net/11693/37109
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/TAES.2017.2675138
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      • Department of Electrical and Electronics Engineering 4011
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