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 Lang1,2
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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