Multichannel LEO SAR Imaging with GEO SAR Illuminator
ID:162 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:28 Hits:394 Oral Presentation

Start Time:2020-06-08 14:00(Asia/Shanghai)

Duration:20min

Session:S Special Session » SS19Advanced Methods of Synthetic Aperture Radar Imaging

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Abstract
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.
Keywords
Speaker
Junjie Wu
University of Electronic Science and Technology of China (UESTC), China

Submission Author
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
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Important Date
  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

    Early Bird Registration

  • Dec 31 2020

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IEEE Signal Processing Society
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