Analysis of super-resolution radar imaging based on sparse regularization

@article{Zhu2016AnalysisOS,
  title={Analysis of super-resolution radar imaging based on sparse regularization},
  author={Xiaoxiang Zhu and Guanghu Jin and Feng He and Zhen Dong and Guozhong Chen and Di Zhao},
  journal={2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  year={2016},
  pages={1046-1049}
}
For sparse signals (direct or indirect), sparse imaging methods can break through limitations of the conventional SAR methods. In this paper, we introduce the basic theory of sparse representation and reconstruction, and then implements several imaging algorithms including FFT and sparse methods. Through comparison, we conclude a good sparse reconstruction… CONTINUE READING