SAR imaging of moving targets by subaperture based low-rank and sparse decomposition
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
Official URL: http://dx.doi.org/10.1109/SIU.2017.7960474
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.
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