SCIENCE CHINA Information Sciences, Volume 62 , Issue 2 : 029305(2019) https://doi.org/10.1007/s11432-018-9464-4

A SAR imaging method based on generalized minimax-concave penalty

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  • ReceivedMar 12, 2018
  • AcceptedMay 22, 2018
  • PublishedNov 27, 2018


There is no abstract available for this article.


This work was supported by National Natural Science Foundation of China (Grant No. 61571419).


Figures A1, B1, B2, C1, C2.


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    Algorithm 1 Forward-backward algorithm for GMC based SAR imaging

    Input: Echo data $\boldsymbol{y}\in~\mathbb{C}^N$, measurement matrix $\boldsymbol{\Phi}\in~\mathbb{C}^{M\times~N}$, and number of the targets $K$;

    Initialization: $0.5\leq\gamma\leq0.8$,$\rho~=~\max~\{1,\gamma~/~(1-\gamma)\}\|\boldsymbol{\Phi}^{\rm~H}\boldsymbol{\Phi}\|$,$\zeta$: $0<\zeta<2/\rho$.


    for $~i~=~1:I$






    end for

    Output: $\boldsymbol{x}=\boldsymbol{x}^{i}.$