Volume 6 Issue 1
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Gu Wenkun, Wang Dangwei, Ma Xiaoyan. Distributed MIMO-ISAR Sub-image Fusion Method[J]. Journal of Radars, 2017, 6(1): 90-97. doi: 10.12000/JR16042
Citation: Gu Wenkun, Wang Dangwei, Ma Xiaoyan. Distributed MIMO-ISAR Sub-image Fusion Method[J]. Journal of Radars, 2017, 6(1): 90-97. doi: 10.12000/JR16042
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Distributed MIMO-ISAR Sub-image Fusion Method

DOI: 10.12000/JR16042 CSTR: 32380.14.JR16042

  • Air Force Early Warning Academy, Wuhan 430019, China

Funds:

The National Natural Science Foundation of China 61179015

  • Received Date: 2016-02-22
  • Rev Recd Date: 2016-03-22
    • Available Online: 2016-05-20
  • Publish Date: 2017-02-28
    Abstract
  • The fast fluctuation associated with maneuvering a target's radar cross-section often affects the imaging performance stability of traditional monostatic Inverse Synthetic Aperture Radar (ISAR). To address this problem, in this study, we propose an imaging method based on the fusion of sub-images of frequencydiversity-distributed multiple Input-Multiple Output-Inverse Synthetic Aperture Radar (MIMO-ISAR). First, we establish the analytic expression of a two-dimensional ISAR sub-image acquired by different channels of distributed MIMO-ISAR. Then, we derive the distance and azimuth distortion factors of the image acquired by the different channels. By compensating for the distortion of the ISAR image, we ultimately realize distributed MIMO-ISAR fusion imaging. Simulations verify the validity of this imaging method using distributed MIMOISAR.

     

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