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A novel sparse SAR unambiguous imaging method based on mixed-norm optimization

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References

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 62271248. 61901213) and Guangdong Basic and Applied Basic Research Foundation (Grant No. 2020B1515120060).

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Authors and Affiliations

  1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China

    Hui Bi, Yufan Song, Yanjie Yin & Jingjing Zhang

  2. Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China

    Hui Bi, Yufan Song, Yanjie Yin & Jingjing Zhang

  3. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China

    Wen Hong & Yirong Wu

Authors
  1. Hui Bi
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  2. Yufan Song
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  3. Yanjie Yin
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  4. Jingjing Zhang
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  5. Wen Hong
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  6. Yirong Wu
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Corresponding author

Correspondence to Hui Bi.

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Supporting information Appendix A. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted. without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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Bi, H., Song, Y., Yin, Y. et al. A novel sparse SAR unambiguous imaging method based on mixed-norm optimization. Sci. China Inf. Sci. 66, 219302 (2023). https://doi.org/10.1007/s11432-022-3814-8

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  • DOI: https://doi.org/10.1007/s11432-022-3814-8

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