Chinese Journal of Liquid Crystals and Displays, Volume. 38, Issue 2, 188(2023)

Optimal design of Lyot liquid crystal tunable filter based on the artificial immune algorithm

Li-xin CHEN, Ru-xin ZHOU, Wen-zheng SU, Wen-bin ZHENG, Ying YANG, Wen-wen MENG, Shi-yuan ZHANG, Xiang-sheng XIE, and Li-shuang YAO*
Author Affiliations
  • College of Science,Shantou University,Shangtou515063,China
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    Figures & Tables(13)
    Flow chart of LCTF optimization based on artificial immune algorithm
    Comparison of filtering performance under different passband and stopband(w1∶w2)weights.(a)FWHM comparison;(b)Side-lobe suppression(SLS)comparison.
    Comparison of evaluation function values under different passband and stoppand weights
    Comparison of spectral curves of traditional Lyot type before and after optimization by IA algorithm
    Comparison of spectral response curves between dual population filter(2.71,6.35,14.92,23.60,27.49 μm)designed by IA algorithm and tranitional Lyot type LCTF(2,4,8,16,32 μm).
    Comparison of transmission gain curve between traditional Lyot type LCTF and LCTF design by IA algorithm
    Spectral response curves with different FWHM
    Comparison of the overall spectral response curves between the actual LCTF designed by IA algorithm and the traditional Lyot LCTF
    Comparison of the evaluation function values under the actual LCTF designed by the IA algorithm and the traditional Lyot type LCTF
    • Table 1. Static characterization parameters of Lyot type LCTF

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      Table 1. Static characterization parameters of Lyot type LCTF

      静态参数定义表征的滤波性能
      半高宽峰值高度一半时的透射峰宽度光谱分辨率
      自由光谱范围相邻级次的不同透射峰之间的光谱距离光谱调谐范围
      旁瓣抑制除主峰外的杂峰抑制光谱纯度
    • Table 2. Dynamic characterization parameters of Lyot type LCTF

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      Table 2. Dynamic characterization parameters of Lyot type LCTF

      动态参数定义表征的滤波性能
      调谐波长最小移动量(dλmin最小波长调节量波长调谐步进
      调谐波长精度(Δλ实际与理论滤波中心波长的差值波长调谐精确性
      调谐波长重复性(δλ重复调谐同一中心波长中的测量最大值与最小值之差波长调谐稳定性
    • Table 3. Comparison of filtering performance parameters under different passband and stopband weight ratios

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      Table 3. Comparison of filtering performance parameters under different passband and stopband weight ratios

      w2/w1FWHM/nmPSLRPSLL/dBMSLL/dBMSE
      18.60.0484-13.50-46.740.350 0
      108.60.0464-14.75-43.950.342 7
      209.00.0338-14.89-46.280.333 6
      257.60.0172-17.74-47.850.322 5
      309.60.0361-11.88-44.910.338 6
      508.00.0451-14.89-42.910.349 9
      1008.80.0604-17.51-44.890.360 5
    • Table 4. Comparison between traditional Lyot type filter and the five-stage filter with arbitrary thickness designed by IA algorithm

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      Table 4. Comparison between traditional Lyot type filter and the five-stage filter with arbitrary thickness designed by IA algorithm

      滤波性能参数传统LCTFIA算法设计LCTF
      FWHM/nm14.013.0
      T1.0000.996
      PSLR0.047 40.012 6
      PSLL/dB-13,23-23.14
      MSL/dB-28.79-48.96
      MSE0.395 80.340 8
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    Li-xin CHEN, Ru-xin ZHOU, Wen-zheng SU, Wen-bin ZHENG, Ying YANG, Wen-wen MENG, Shi-yuan ZHANG, Xiang-sheng XIE, Li-shuang YAO. Optimal design of Lyot liquid crystal tunable filter based on the artificial immune algorithm[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(2): 188

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    Paper Information

    Category: Research Articles

    Received: Oct. 12, 2022

    Accepted: --

    Published Online: Feb. 20, 2023

    The Author Email: Li-shuang YAO (lsyao@stu.edu.cn)

    DOI:10.37188/CJLCD.2022-0332

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