Browsing by Subject "Off-grids"

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    Compressive sensing based target detection in delay-doppler radars
    (IEEE, 2013) Teke, Oguzhan; Arıkan, Orhan; Gürbüz, A.C.
    Compressive Sensing theory shows that, a sparse signal can be reconstructed from its sub-Nyquist rate random samples. With this property, CS approach has many applications. Radar systems, which deal with sparse signal due to its nature, is one of the important application of CS theory. Even if CS approach is suitable for radar systems, classical detections schemes under Neyman-Pearson formulations may result high probability of false alarm, when CS approach is used, especially if the target has off-grid parameters. In this study, a new detection scheme which enables CS techniques to be used in radar systems is investigated. © 2013 IEEE.
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    Off-grid sparse SAR image reconstruction by EMMP algorithm
    (IEEE, 2013) Uğur, Salih; Arıkan, Orhan; Gurbuz, A.C.
    A new and robust sparse SAR image reconstruction technique is proposed for off-grid targets in the CS framework. In the proposed approach, basis vectors corresponding to on-grid point reflectors are perturbed on a finer grid to find the appropriate bases for the reconstruction of off-grid targets. To provide efficiency of the reconstruction, the EMMP algorithm is applied to find reflectivity center locations. As demonstrated by simulations, the proposed approach significantly improves the performance of sparse SAR image reconstruction. © 2013 IEEE.