Now showing items 1-5 of 5

    • Autofocused spotlight SAR image reconstruction of off-grid sparse scenes 

      Camlıca, S.; Gurbuz, A. C.; Arıkan, Orhan (Institute of Electrical and Electronics Engineers Inc., 2017)
      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. ...
    • Off-grid sparse blind sensor calibration 

      Çamlıca, S.; Yetik, I. Ş.; Arıkan, Orhan (Institute of Electrical and Electronics Engineers, 2018)
      Compressive Sensing (CS) based techniques generally discretize the signal space and assume that the signal is sparse and has support only on the discretized grid points. Due to continuous nature of the signals, representing ...
    • A robust compressive sensing based technique for reconstruction of sparse radar scenes 

      Teke, O.; Gurbuz, A. C.; Arıkan, Orhan (Academic Press, 2014)
      Pulse-Doppler radar has been successfully applied to surveillance and tracking of both moving and stationary targets. For efficient processing of radar returns, delay-Doppler plane is discretized and FFT techniques are ...
    • Robust compressive sensing techniques 

      Teke, Oğuzhan (Bilkent University, 2014)
      Compressive Sensing theory details how a sparsely represented signal in a known basis can be reconstructed from an underdetermined linear measurements. However, in reality there is a mismatch between the assumed and the ...
    • Sparsity based off-grid blind sensor calibration 

      Çamlıca, S.; Yetik, I. S.; Arıkan, Orhan (Elsevier, 2018)
      Compressive Sensing (CS) based techniques generally discretize the signal space and assume that the signal has a sparse support restricted on the discretized grid points. This restriction of representing the signal on a ...