title   
  

SAR imaging of moving targets by subaperture based low-rank and sparse decomposition

Warning The system is temporarily closed to updates for reporting purpose.

Yasin, Mubashar and Çetin, Müjdat and Khwaja, Ahmed Shaharyar (2017) SAR imaging of moving targets by subaperture based low-rank and sparse decomposition. In: 25th Signal Processing and Communications Applications Conference (SIU 2017), Antalya, Turkey

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
215Kb

Official URL: http://dx.doi.org/10.1109/SIU.2017.7960474

Abstract

We propose a subaperture based method for synthetic aperture radar (SAR) imaging of moving targets. It exploits low-rank and sparse decomposition for extraction of moving targets from the complex SAR scene. First SAR raw data are divided into subapertures in the azimuth direction. Subsequently, low-rank and sparse decomposition is applied using the multiple subapertures data to accomplish the separation of moving targets from the stationary SAR background. A full resolution moving target image is reconstructed by combining the spectral information of the sparse subaperture images. Such an image has a high signal to clutter ratio and is well suited for motion estimation and focusing algorithms. This proposed framework extends the applicability of sparsity-driven moving target focusing methods to very low signal to clutter ratio environments. We demonstrate the performance of our approach through experiments with synthetic and real SAR data.

Item Type:Papers in Conference Proceedings
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
ID Code:33856
Deposited By:Müjdat Çetin
Deposited On:13 Sep 2017 10:06
Last Modified:22 May 2019 13:57

Repository Staff Only: item control page