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      Distributed MIMO-ISAR Sub-image Fusion Method

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          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 MIMO-ISAR.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 February 2017
          : 6
          : 1
          : 90-97
          Affiliations
          [1 ] (Air Force Early Warning Academy, Wuhan 430019, China)
          Article
          0f1a1f1f11f4412b86241a39f73d5cce
          10.12000/JR16042

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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