Off-grid sparse SAR image reconstruction by EMMP algorithm

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.

[1]  David L Donoho,et al.  Compressed sensing , 2006, IEEE Transactions on Information Theory.

[2]  Ali Cafer Gürbüz,et al.  A Compressive Sensing Data Acquisition and Imaging Method for Stepped Frequency GPRs , 2009, IEEE Transactions on Signal Processing.

[3]  D. Munson,et al.  A tomographic formulation of spotlight-mode synthetic aperture radar , 1983, Proceedings of the IEEE.

[4]  Albert Fannjiang,et al.  Compressive Radar with Off-Grid and Extended Targets , 2012 .

[5]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[6]  Ali Cafer Gürbüz,et al.  SAR image reconstruction by EMMP algorithm , 2012, 2012 20th Signal Processing and Communications Applications Conference (SIU).

[7]  Thomas Strohmer,et al.  Compressed sensing radar , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[8]  Ali Cafer Gürbüz,et al.  Expectation maximization based matching pursuit , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[9]  Rama Chellappa,et al.  Compressed Synthetic Aperture Radar , 2010, IEEE Journal of Selected Topics in Signal Processing.

[10]  E. Candès,et al.  Stable signal recovery from incomplete and inaccurate measurements , 2005, math/0503066.

[11]  Randolph L. Moses,et al.  Parameter estimation using sparse reconstruction with dynamic dictionaries , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[12]  Orhan Arikan,et al.  SAR image reconstruction and autofocus by compressed sensing , 2012, Digit. Signal Process..