Super-resolution ISAR imaging via statistical compressive sensing

@article{Wu2011SuperresolutionII,
  title={Super-resolution ISAR imaging via statistical compressive sensing},
  author={Shun-jun Wu and Lei Zhang and Meng-Dao Xing},
  journal={Proceedings of 2011 IEEE CIE International Conference on Radar},
  year={2011},
  volume={1},
  pages={545-550}
}
Developing compressed sensing (CS) theory has been applied in radar imaging by exploiting the inherent sparsity of radar signal. In this paper, we develop a super resolution (SR) algorithm for formatting inverse synthetic aperture radar (ISAR) image with limited pulses. Assuming that the target scattering field follows an identical Laplace probability distribution, the approach converts the SR imaging into a sparsity-driven optimization in Bayesian statistics sense. We also show that improved… CONTINUE READING
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