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高形状因子可编程微波光子滤波器集成芯片

廖莎莎 廖柯 廖希 刘力

廖莎莎, 廖柯, 廖希, 刘力. 高形状因子可编程微波光子滤波器集成芯片[J]. 电子与信息学报, 2019, 41(11): 2606-2613. doi: 10.11999/JEIT181156
引用本文: 廖莎莎, 廖柯, 廖希, 刘力. 高形状因子可编程微波光子滤波器集成芯片[J]. 电子与信息学报, 2019, 41(11): 2606-2613. doi: 10.11999/JEIT181156
Shasha LIAO, Ke LIAO, Xi LIAO, Li LIU. Integrated Programmable Microwave Photonic Filter with High Shape-factor[J]. Journal of Electronics & Information Technology, 2019, 41(11): 2606-2613. doi: 10.11999/JEIT181156
Citation: Shasha LIAO, Ke LIAO, Xi LIAO, Li LIU. Integrated Programmable Microwave Photonic Filter with High Shape-factor[J]. Journal of Electronics & Information Technology, 2019, 41(11): 2606-2613. doi: 10.11999/JEIT181156

高形状因子可编程微波光子滤波器集成芯片

doi: 10.11999/JEIT181156
基金项目: 国家自然科学基金(61801063, 61801062, 61805215),重庆市教育委员会科学技术研究项目(KJQN201800605), 重庆邮电大学博士启动基金(A2017-115)
详细信息
    作者简介:

    廖莎莎:女,1990年生,讲师,博士,研究方向为微波光子学、硅光子学、射频信号处理等

    廖柯:男,1963年生,研究员,硕士,研究方向为光电子技术、微波光子学等

    廖希:女,1988年生,讲师,博士,研究方向为电波传播、射频与微波电子学、信道建模等

    刘力:男,1988年生,副教授,博士,研究方向为光通信纳米器件、微波光子学、光电神经网络芯片等

    通讯作者:

    廖莎莎 liaoss@cqupt.edu.cn

  • 中图分类号: TN928, TN929.1

Integrated Programmable Microwave Photonic Filter with High Shape-factor

Funds: The National Natural Science Foundation of China (61801063, 61801062, 61805215), The Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJQN201800605), The Dr. Start-up Funding of Chongqing University of Posts and Telecommunications (A2017-115)
  • 摘要: 为了适应新型通信技术发展,该文提出了一种高形状因子、可编程的微波光子滤波器集成芯片。该滤波器芯片采用绝缘体上硅材料(SOI),利用有限冲击响应原理,通过调节各支路上的热光调制器,可以实现带宽可调、形状因子大于0.55的滤波曲线,以及中心频率可调、带宽可调和滤波形状可变3种不同滤波功能。该滤波器尺寸小、重量轻、灵活性高,能适用于大带宽信号处理,并能提供一种理想的信道划分方式,可广泛应用于国防领域和5G网络中。
  • 图  1  微波光子滤波器系统结构和各节点频谱示意图

    图  2  微波光子滤波器芯片结构示意图

    图  3  Sagnac反射镜结构示意图

    图  4  带宽可调、高形状因子滤波器仿真结果

    图  5  中心频率可调滤波器和滤波形状可变滤波器仿真结果

    表  1  带宽可调、高形状因子滤波器幅度调制阵列、相位调制阵列取值及相关特性参数

    编号12345678
    幅度调制阵列${\alpha _1}$0.380.470.380.450.580.801.001.00
    ${\alpha _2}$0.650.830.851.001.001.000.800.35
    ${\alpha _3}$0.871.001.000.920.440.020.340.27
    ${\alpha _4}$1.000.890.660.200.290.310.020.20
    ${\alpha _5}$1.000.540.080.350.180.200.140.13
    ${\alpha _6}$0.870.120.310.270.200.040.170.07
    ${\alpha _7}$0.650.190.290.160.060.160.110.01
    ${\alpha _8}$0.380.280.030.200.150.090.010.03
    相位调制阵列${\phi _1}$00.04${\text{π}}$0.97${\text{π}}$0.91${\text{π}}$0.98${\text{π}}$0.69${\text{π}}$0.98${\text{π}}$0.98${\text{π}}$
    ${\phi _2}$0.02${\text{π}}$0.11${\text{π}}$0.98${\text{π}}$0.92${\text{π}}$00.76${\text{π}}$00
    ${\phi _3}$0.03${\text{π}}$0.19${\text{π}}$00.94${\text{π}}$0.02${\text{π}}$0.37${\text{π}}$0.52${\text{π}}$0.52${\text{π}}$
    ${\phi _4}$0.05${\text{π}}$0.27${\text{π}}$0.02${\text{π}}$0.95${\text{π}}$0.53${\text{π}}$0.43${\text{π}}$0.03${\text{π}}$0.03${\text{π}}$
    ${\phi _5}$0.06${\text{π}}$0.35${\text{π}}$0.03${\text{π}}$0.47${\text{π}}$0.55${\text{π}}$00.05${\text{π}}$0.55${\text{π}}$
    ${\phi _6}$0.08${\text{π}}$0.42${\text{π}}$0.55${\text{π}}$0.48${\text{π}}$0.06${\text{π}}$0.09${\text{π}}$0.56${\text{π}}$0.06${\text{π}}$
    ${\phi _7}$0.09${\text{π}}$00.56${\text{π}}$00.08${\text{π}}$0.66${\text{π}}$0.08${\text{π}}$0.58${\text{π}}$
    ${\phi _8}$0.10${\text{π}}$0.08${\text{π}}$0.58${\text{π}}$0.02${\text{π}}$0.59${\text{π}}$0.23${\text{π}}$0.59${\text{π}}$0.59${\text{π}}$
    3 dB带宽(GHz)1.342.583.294.405.536.587.608.64
    形状因子0.550.640.680.750.800.830.850.88
    下载: 导出CSV

    表  2  滤波形状可变滤波器幅度调制阵列、相位调制阵列取值和仿真所得曲线与理想曲线的平均误差

    滤波曲线类型三角形锯齿形高斯形超高斯形
    幅度调制系数${\alpha _1}$0.450.540.100.15
    ${\alpha _2}$1.001.000.410.60
    ${\alpha _3}$0.710.80.831.00
    ${\alpha _4}$0.130.431.000.83
    ${\alpha _5}$0.040.350.740.32
    ${\alpha _6}$0.080.250.350.06
    ${\alpha _7}$0.010.210.120.01
    ${\alpha _8}$0.020.170.030.02
    相位调制系数(${\text{π}}$)${\phi _1}$0000.98
    ${\phi _2}$0.020.100.020
    ${\phi _3}$0.030.230.030.03
    ${\phi _4}$0.050.470.050.05
    ${\phi _5}$0.060.750.060.06
    ${\phi _6}$0.080.030.080.02
    ${\phi _7}$0.090.320.090.74
    ${\phi _8}$0.110.590.110.66
    平均误差(%)0.715.760.070.10
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-12-17
  • 修回日期:  2019-07-22
  • 录用日期:  2019-07-01
  • 网络出版日期:  2019-08-01
  • 刊出日期:  2019-11-01

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