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An improved iterative thresholding algorithm for L1-norm regularization based sparse SAR imaging

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Acknowledgements

This work was partially supported by Fundamental Research Funds for the Central Universities (Grant No. NE2020004), National Natural Science Foundation of China (Grant No. 61901213), Natural Science Foundation of Jiangsu Province (Grant No. BK20190397), Aeronautical Science Foundation of China (Grant No. 201920052001), and Young Science and Technology Talent Support Project of Jiangsu Science and Technology Association.

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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, Yong Li & Daiyin Zhu

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

    Hui Bi, Yong Li & Daiyin Zhu

  3. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore

    Guoan Bi

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

    Bingchen Zhang, Wen Hong & Yirong Wu

Authors
  1. Hui Bi
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  2. Yong Li
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  3. Daiyin Zhu
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  4. Guoan Bi
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  5. Bingchen Zhang
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  6. Wen Hong
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  7. Yirong Wu
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Corresponding author

Correspondence to Hui Bi.

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Bi, H., Li, Y., Zhu, D. et al. An improved iterative thresholding algorithm for L1-norm regularization based sparse SAR imaging. Sci. China Inf. Sci. 63, 219301 (2020). https://doi.org/10.1007/s11432-020-2994-4

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  • DOI: https://doi.org/10.1007/s11432-020-2994-4

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