Infrared and Laser Engineering, Volume. 52, Issue 8, 20230244(2023)

Optimization of terahertz MIMO array radar based on dual strategy differential evolution algorithm

Xudong Wei1... Yajun Pang2, and Liying Lang12 |Show fewer author(s)
Author Affiliations
  • 1College of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin 300400, China
  • 2School of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300400, China
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    Figures & Tables(12)
    MIMO array radar imaging scene
    DSADE algorithm flowchart
    Test function image
    (a) MIMO array comprehensive directional map (before optimization); (b) MIMO array comprehensive directional pattern (optimized by DSADE algorithm)
    Optimization algorithm convergence comparison chart
    Comparison chart of experimental results
    • Table 1. Uniformity comparison of initialization methods

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      Table 1. Uniformity comparison of initialization methods

      n/dim 20406080100
      Kent8.218.268.258.348.30
      Random7.537.848.038.098.16
    • Table 2. Standard test function

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      Table 2. Standard test function

      FunctionFunction expressionRangeOptimum
      $ {f}_{1} $$ {\displaystyle\sum }_{i=1}^{n}{x}_{i}^{2} $(−5.12,5.12)0
      $ {f}_{2} $${\displaystyle\sum }_{i=1}^{n}\left|{x}_{i}\right|+{\displaystyle\prod }_{i=1}^{n}\left|{x}_{i}\right|$(−10,10)0
      $ {f}_{3} $$ {\displaystyle\sum }_{i=1}^{n}{\left({\displaystyle\sum }_{j=1}^{i}{x}_{j}\right)}^{2} $(−100,100)0
      $ {f}_{4} $$ {\displaystyle\sum }_{i=1}^{n}[{x}_{i}^{2}-10\mathrm{cos}\left(2\pi {x}_{i}\right)+10] $(−5.12,5.12)0
      $ {f}_{5} $${\displaystyle\sum }_{i=1}^{n-1}\left[{100\left({x}_{i}^{2}-{x}_{i+1}\right)}^{2}+{({x}_{i}-1)}^{2}\right]$(−30,30)0
      $ {f}_{6} $$ {\displaystyle\sum }_{i=1}^{n}|{x}_{i}\mathrm{sin}\left({x}_{i}\right)+0.1{x}_{i}| $(−10,10)0
      $ {f}_{7} $${\displaystyle\sum }_{i=1}^{n}\frac{ {x}_{i}^{2} }{4\;000}-{\displaystyle\prod }_{i=1}^{n}\mathrm{cos}\left(\dfrac{ {x}_{i} }{\sqrt{i} }\right)+1$(−5.12,5.12)0
      $ {f}_{8} $$ {\displaystyle\sum }_{i=1}^{n}{x}_{i}^{10} $(−5.12,5.12)0
    • Table 3. Experimental results of standard test function

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      Table 3. Experimental results of standard test function

      FunctionDE/rand/2DE/best/2DE/current-to-best/1DSADE
      MeanStdMeanStdMeanStdMeanStd
      $ {f}_{1} $2.59e-067.77e-061.58e-154.74e-153.95e-021.18e-039.96e-354.40e-35
      $ {f}_{2} $4.60e-031.38e-031.15e-053.46e-051.99e+015.27e+012.88e-201.35e-20
      $ {f}_{3} $4.73e+043.86e+041.80e+044.80e+047.26e+043.75e+042.00e-001.80e-00
      $ {f}_{4} $3.31e+0218.3e+037.87e+028.41e+021.03e+022.00e+012.16e+001.96e+00
      $ {f}_{5} $2.34e+021.68e+022.40e+000.84e+013.72e+035.62e+031.89e+002.20e+00
      $ {f}_{6} $8.85e+013.38e+019.46e-021.89e-029.49e+012.38e+011.97e-181.37e-18
      $ {f}_{7} $6.38e-041.28e-040.00e+000.00e+003.69e-016.30e-010.00e+000.00e+00
      $ {f}_{8} $1.13e-132.26e-134.82e-439.64e-439.91e-021.94e-024.32e-757.24e-74
    • Table 4. Optimization algorithm parameter setting

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      Table 4. Optimization algorithm parameter setting

      AlgorithmRelated parameters
      FCR
      DE/rand/10.50.9
      DE/best/10.50.9
      DE/current-to-best/10.50.9
      ISMADESelf-adaption0.9
      DSADESelf-adaptionSelf-adaption
      ABCLeading beeFollowing bee
      50%NP50%NP
      PSOC1 C2 w
      220.8
    • Table 5. Comparison of simulation optimization results

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      Table 5. Comparison of simulation optimization results

      AlgorithmAve/dBStd/ $ {\mathrm{d}\mathrm{B}}^{2} $Best/dB
      DE/rand/1−16.571.24e-1−16.88
      DE/best/1−16.033.21e-1−16.68
      DE/current-to-best/1−16.491.70e-1−16.87
      ABC−16.552.49e-1−17.12
      PSO−16.151.33e-1−16.41
      ISMADE−16.870.80e-1−17.01
      DSADE−17.811.82e-1−18.33
    • Table 6. Optimized MIMO array position(Unit: cm)

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      Table 6. Optimized MIMO array position(Unit: cm)

      $ {x}_{1} $$ {x}_{2} $$ {x}_{3} $$ {x}_{4} $$ {x}_{5} $$ {x}_{6} $$ {x}_{7} $$ {x}_{8} $
      00.87061.58162.44263.67195.04026.41056.9
      $ {y}_{1} $$ {y}_{2} $$ {y}_{3} $$ {y}_{4} $$ {y}_{5} $$ {y}_{6} $$ {y}_{7} $$ {y}_{8} $
      0.31.18952.75183.06514.73375.77846.09737.2
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    Xudong Wei, Yajun Pang, Liying Lang. Optimization of terahertz MIMO array radar based on dual strategy differential evolution algorithm[J]. Infrared and Laser Engineering, 2023, 52(8): 20230244

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    Paper Information

    Category: Terahertz

    Received: Apr. 23, 2023

    Accepted: Jul. 5, 2023

    Published Online: Oct. 19, 2023

    The Author Email:

    DOI:10.3788/IRLA20230244

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