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      Improved Terahertz InISAR Imaging Method Based on Joint Processing of Dual-frequency Data

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          Abstract

          To improve the imaging accuracy of Interferometry Inverse Synthetic Aperture Radar (InISAR), in this paper, we propose a novel method based on the joint processing of dual-frequency data. First, we divide the radar echo into two parts in the fast-time domain, then we apply the conventional InISAR method to each dataset. By comparing and analyzing the imaging results of the two parts, we can identify and remove redundant and bad pixels. Using the proposed joint processing method, we obtained the InISAR imaging results of a scatter model of an airplane and calculated the Root Mean Square Error (RMSE). The simulation results show that the proposed method can effectively improve imaging accuracy with different Signal-to-Noise Ratio (SNR).

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 February 2018
          : 7
          : 1
          : 139-146
          Affiliations
          [1 ] (College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China)
          Article
          954ea036b29a4a61a3d7c0c7d48501fb
          10.12000/JR17109

          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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