Volume 43 Issue 1
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Article Navigation >  Chinese Journal of Space Science  > 2023  >  43(1): 68-77 Open Access
ZHANG Rongyu, YAN Jingye, WU Lin, WU Ji. High Dynamic Range Solar Radio Imaging Based on Deconvolution Using Prolate Spheroidal Wave Functions (in Chinese). Chinese Journal of Space Science, 2023, 43(1): 68-77 doi: 10.11728/cjss2023.01.211125126
Citation: ZHANG Rongyu, YAN Jingye, WU Lin, WU Ji. High Dynamic Range Solar Radio Imaging Based on Deconvolution Using Prolate Spheroidal Wave Functions (in Chinese). Chinese Journal of Space Science, 2023, 43(1): 68-77 doi: 10.11728/cjss2023.01.211125126
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High Dynamic Range Solar Radio Imaging Based on Deconvolution Using Prolate Spheroidal Wave Functions

doi: 10.11728/cjss2023.01.211125126 cstr: 32142.14.cjss2023.01.211125126
  • 1.

    National Space Science Center, Chinese Academy of Sciences, Beijing 100190

  • 2.

    University of Chinese Academy of Sciences, Beijing 100049

  • Received Date: 2021-11-25
  • Rev Recd Date: 2022-06-01
    • Available Online: 2022-12-02
    Abstract
  • When the synthetic aperture radio telescope is used to observe the Sun, faint sources can be revealed by accurately removing the bright extended sources. Moreover, high dynamic range imaging can be achieved. The inherent limitations of using image pixels as basis functions in the CLEAN algorithm commonly used in radio astronomy lead to poor results for modeling extended sources. In this paper, a deconvolution method based on Prolate Spheroidal Wave Functions (PSWF) is applied to solar radio imaging to overcome the limitations of the CLEAN algorithm. The optimal PSWF orthogonal basis is determined by the Region of Interest (ROI) in dirty images and UV coverage of the interferometric array. The PSWF orthogonal basis is applied to the deconvolution of the solar radio images observed by the uniform circular array to confirm its efficiency. Moreover, the performance of the CLEAN algorithm and the method using PSWF were quantitatively compared from two aspects including dynamic range and fidelity. The faint sources in the residual dirty images produced by deconvolution using PSWF orthogonal basis are closer to the true model. A higher dynamic range imaging can also be obtained by using PSWF.

     

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