Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6330
Title: Autofocused Spotlight SAR Image Reconstruction of Off-Grid Sparse Scenes
Authors: Çamlıca, Sedat
Gürbüz, Ali Cafer
Arıkan, Orhan
Keywords: [No Keywords]
Issue Date: 2017
Publisher: IEEE-Inst Electrical Electronics Engineers Inc
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.
URI: https://doi.org/10.1109/TAES.2017.2675138
https://hdl.handle.net/20.500.11851/6330
ISSN: 0018-9251
1557-9603
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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