64 / 2019-12-12 02:29:00
Multichannel LEO SAR Imaging with GEO SAR Illuminator
全文录用
Junjie Wu / University of Electronic Science and Technology of China (UESTC), China
Hongyang An / University of Electronic Science and Technology of China, China
Zhichao Sun / UESTC, China
Jianyu Yang / School of Electronic Engineering, China
Low-earth-orbit (LEO) synthetic aperture radar (SAR) can achieve advanced remote sensing applications benefiting from the large beam coverage and long duration time of interested area provided by a geosynchronous (GEO) SAR illuminator. In this paper, an imaging method for GEO-LEO SAR is proposed. After analyzing the sampling characteristics of GEO-LEO SAR, it is found that only 12.5 % sampling data can be acquired in azimuth direction. To handle the serious sub-Nyquist sampling problem and achieve good focusing results, an imaging method combined with multi-receiving technique and compressed sensing is proposed. The multi-receiving imaging model is firstly obtained based on the inverse process of a nonlinear chirp scaling imaging method. Then, the imaging problem of GEO-LEO SAR is converted to an L1 regularization problem. Finally, an effective recovery method named complex approximate message passing is applied to obtain the final nonambiguous image. The simulation results show that the proposed method can suppress 8 times Doppler ambiguity and obtain the well focused image with 3 receiving channels.
重要日期
  • 会议日期

    06月08日

    2020

    06月11日

    2020

  • 01月12日 2020

    初稿截稿日期

  • 04月15日 2020

    提前注册日期

  • 12月31日 2020

    注册截止日期

主办单位
IEEE Signal Processing Society
承办单位
Zhejiang University
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