Volume 10 Issue 5
Oct.  2021
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Article Navigation >  Journal of Radars  > 2021  >  10(5): 699-717
QU Haiyou, CHENG Di, CHEN Chang, et al. High-resolution sparse self-calibration imaging for vortex radar with phase error[J]. Journal of Radars, 2021, 10(5): 699–717. DOI: 10.12000/JR21094
Citation: QU Haiyou, CHENG Di, CHEN Chang, et al. High-resolution sparse self-calibration imaging for vortex radar with phase error[J]. Journal of Radars, 2021, 10(5): 699–717. DOI: 10.12000/JR21094
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High-resolution Sparse Self-calibration Imaging for Vortex Radar with Phase Error

DOI: 10.12000/JR21094

  • School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China

Funds:  The National Natural Science Foundation of China (61971392)
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  • Author Bio:

    QU Haiyou received the B.S. degree in electronic engineering from Nanjing University of Science and Technology in 2019. He is currently pursuing the Ph.D. degrees in the School of Information Science and Technology, University of Science and Technology of China, Hefei, China. His research interests include vortex electromagnetic imaging, Bayesian model, optimization algorithms and signal processing

    CHENG Di received B.S. degree in remote sensing science and technology from Harbin Institute of Technology, Harbin, China, in 2018. He is currently pursuing the Ph.D. degrees in the School of Information Science and Technology, University of Science and Technology of China, Hefei, China. His research interests include signal processing, radar imaging, optimization algorithms and target tracking

    CHEN Chang received B.S., M.S. and Ph.D. degrees in University of Science and Technology of China (USTC), Hefei, China, in 2002, 2005 and 2012 respectively. He is an Associate Professor in the School of Information Science and Technology, USTC, China. He has considerable experience in antenna design, microwave imaging, and microwave passive components. He is currently interested in microwave antennas, microwave metamaterials, and electromagnetic spectrum sensing

    CHEN Weidong received the B.S. degree in electronic engineering from the University of Electronic Science and Technology of China, Chengdu, China, in 1990, and the M.Eng. and Ph.D. degrees in electromagnetic field and microwave technology from the University of Science and Technology of China (USTC), Hefei, China, in 1994 and 2005, respectively. He serves as a Professor with the Department of Electronic Engineering, USTC. His research interests are in the areas of microwave imaging theory with applications to radar

  • Corresponding author: CHEN Chang, chench@mail.ustc.edu.cn
  • Received Date: 2021-07-01
  • Rev Recd Date: 2021-08-05
    • Available Online: 2021-08-21
  • Publish Date: 2021-08-21
    Abstract

  • The Orbital Angular Momentum (OAM)-based vortex radar has drawn increasing attention because of its potential for high-resolution imaging. The vortex radar high resolution imaging with limited OAM modes is commonly solved by sparse recovery, in which the prior knowledge of the imaging model needs to be known precisely. However, the inevitable phase error in the system results in imaging model mismatch and deteriorates the imaging performance considerably. To address this problem, the vortex radar imaging model with phase error is established for the first time in this work. Meanwhile, a two-step self-calibration imaging method for vortex radar is proposed to directly estimate the phase error. In the first step, a sparsity-driven algorithm is developed to promote sparsity and improve imaging performance. In the second step, a self-calibration operation is performed to directly compensate for the phase error. By alternately reconstructing the targets and estimating the phase error, the proposed method can reconstruct the target with high imaging quality and effectively compensate for the phase error. Simulation results demonstrate the advantages of the proposed method in enhancing the imaging quality and improving the phase error estimation performance.

     

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