Journal of Infrared and Millimeter Waves, Volume. 39, Issue 3, 300(2020)

A fast imaging algorithm for sparse array imaging based on PCA and modified SLIM methods

Xiang-Xin MENG, Shuai WU*, Hao TU, Tao-Rong LIU, and Xue-Ming JIN
Author Affiliations
  • Brainware Terahertz Information Technology Co. Ltd, Hefei230000, China
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    Figures & Tables(14)
    The square boundary array, where the red circles represent the spatial position of the transmitting antenna and the green circles represent the spatial position of the receiving antenna, blue stars show the positions of the equivalent phase center
    Sparse array equivalent phase center schematic
    The main steps of the proposed algorithm
    (a) The original image generated by the FFT algorithm (b) The auto- focus image generated by the SLIM algorithm (iteration number = 2) (c) The auto-focus image generated by the modified SLIM algorithm (Th_dB = -15dB and no iteration)
    The simulation model of THZ letter.
    (a) The original image generated by the FFT algorithm (b) The auto-focus image generated by the SLIM algorithm (iteration number = 2) (c) The auto-focus image generated by the modified SLIM algorithm (Th_dB = -20dB and no iteration)
    (a) The original image generated by the FFT algorithm (b) The auto-focus image generated by the SLIM algorithm (iteration number = 2) (c) The auto-focus image generated by the modified SLIM algorithm (Th_dB = -20dB and iteration number = 2)
    Images under different iteration numbers of the SLIM algorithm. (a) 1 (b) 2 (c) 3 (d) 4
    Images under different iteration numbers of the modified SLIM algorithm (Th_dB = -20 dB). (a) 1 (b) 2 (c) 3 (d) 4
    The Contrast criteria of different iterations.
    • Table 1. System Parameters

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      Table 1. System Parameters

      ParametersValues
      Frequency24~30GHz
      Sweep points24
      Unambiguous distance0.6m
      Number of transmit elements48
      Number of receive elements48
      Element spacing0.01m
    • Table 2. Computing time

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      Table 2. Computing time

      algorithm

      SLIM algorithm

      Modified SLIM algorithm

      Time/s

      19.18

      3.82

    • Table 3. Computing time

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      Table 3. Computing time

      algorithm

      SLIM algorithm

      Modified SLIM algorithm

      Time/s

      20.63

      2.45

    • Table 4. Comparisons image Contrast of different algorithms

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      Table 4. Comparisons image Contrast of different algorithms

      NoiseFFTSLIM-FFTModified SLIM-FFT
      0dB1.452.462.66
      -10dB2.082.802.87
      -20dB2.302.812.86
      -30dB2.352.802.86
      -40dB2.362.812.85
      No noise2.362.802.85
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    Xiang-Xin MENG, Shuai WU, Hao TU, Tao-Rong LIU, Xue-Ming JIN. A fast imaging algorithm for sparse array imaging based on PCA and modified SLIM methods[J]. Journal of Infrared and Millimeter Waves, 2020, 39(3): 300

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    Paper Information

    Category: Millimeter Wave and Terahertz Technology

    Received: Oct. 18, 2019

    Accepted: --

    Published Online: Jul. 7, 2020

    The Author Email: Shuai WU (shuaiwu52@163.com)

    DOI:10.11972/j.issn.1001-9014.2020.03.006

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