THz ISAR imaging using GPU-accelerated phase compensated back projection algorithm
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Affiliation:

1.School of Physics and Electronic Engineering, Shanxi University, Taiyuan 030006, China;2.Department of physics, Capital Normal University, Beijing 100048, China;3.Department of Electrical Engineering and Computer Science, University of Tennessee,Knoxville, TN 37996-2250, USA

Clc Number:

TN95

Fund Project:

Supported by National Natural Science Foundation of China (11804209), Natural Science Foundation of Shanxi Province under (201901D211173), Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi (2019 L0064).

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    Abstract:

    Here, we present our implementation of two-dimensional (2D) high-resolution inverse synthetic aperture radar (ISAR) imaging using a 0.22 THz stepped-frequency (SF) radar system. The system is suitable for both near- and far-field imaging with a synthesis bandwidth of 12 GHz. The radar can provide highly accurate range and cross-range results in the near field, and its ISAR image can reach centimeter-level resolution upon using a phase-compensated Back-Projection algorithm (BP algorithm). These BP-realized results indicate that THz ISAR imaging can achieve both higher precision and finer resolution when compared to previously demonstrated range-doppler (RD) results with the same SFCW radar setup. To accelerate BP’s relatively slow image retrieval process, we employ accelerated platforms based on a graph-processing unit (GPU). Such success should pave the way for further research on near-field high-resolution radar imaging especially at THz/sub-millimeter bands.

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LIANG Mei-Yan, REN Zhu-Yun, LI Guang-Hui, ZHANG Cun-Lin, E Fathy Aly. THz ISAR imaging using GPU-accelerated phase compensated back projection algorithm[J]. Journal of Infrared and Millimeter Waves,2022,41(2):448~456

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History
  • Received:June 21,2021
  • Revised:April 06,2022
  • Adopted:September 27,2021
  • Online: March 31,2022
  • Published: