Microwave Signal Detection Based on the Nonpolarimetric Frequency Down-Conversion Technique

被引:6
|
作者
Takeuchi, Haruhiko [1 ]
Hisatake, Shintaro [1 ]
机构
[1] Gifu Univ, Elect & Energy Syst Engn Div, Gifu 5011193, Japan
关键词
Microwave/millimeter wave sensors; electromagnetic compatibility (EMC); electro-optic (EO); nonpolarimetric frequency down-conversion system; visualization of the electric field;
D O I
10.1109/LSENS.2020.3013395
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We report a method for electro-optic (EO) microwave detection based on a nonpolarimetric frequency down-conversion technique. The detection principle is based on the coherent detection of the modulation sideband generated based on the interaction between the optical frequency comb and the microwave signal in the EO crystal. We theoretically analyzed the frequency characteristics of this technique. The theoretical calculation showed that the negative interference of the beat signals between the comb component and the modulation sidebands generated from the higher order comb components decreases the EO detection sensitivity, suggesting that the steeper roll-off characteristics of the optical bandpass filter will increase the sensitivity at the lower frequency side. We further demonstrate that the calculated frequency characteristic agrees well with the experimental measurements from 1 MHz to 10 GHz. Finally, we demonstrate the electric field visualization between the signal line and ground plane of the microstrip line. The proposed method is applicable to antenna measurements and measurements for electromagnetic compatibility.
引用
收藏
页数:4
相关论文
共 50 条
  • [1] Ultra-broadband microwave frequency down-conversion based on optical frequency comb
    Fang, Xiao
    Bai, Ming
    Ye, Xiuzhu
    Miao, Jungang
    Zheng, Zheng
    OPTICS EXPRESS, 2015, 23 (13): : 17111 - 17119
  • [2] Microwave photonic frequency down-conversion link based on intensity and phase paralleled modulation
    Li, Jingnan
    Wang, Yunxin
    Wang, Dayong
    Du, Haozheng
    Zhou, Tao
    Zhong, Xin
    Yang, Dengcai
    Li, Hongli
    INTERNATIONAL CONFERENCE ON OPTOELECTRONICS AND MICROELECTRONICS TECHNOLOGY AND APPLICATION, 2017, 10244
  • [3] High Frequency Microwave Phase Noise Measurement by Photonic Microwave Down-Conversion Based on an Optoelectronic Oscillator
    Peng, Huanfa
    Peng, Xiaofeng
    Xu, Yongchi
    Zhang, Cheng
    Zhu, Lixin
    Hu, Weiwei
    Chen, Zhangyuan
    2016 15TH INTERNATIONAL CONFERENCE ON OPTICAL COMMUNICATIONS AND NETWORKS (ICOCN), 2016,
  • [4] Microwave photonic frequency down-conversion and channel switching for satellite communication
    Zhu, Sha
    Fan, Xiaojie
    Li, Ming
    Zhu, Ning Hua
    Li, Wei
    OPTICS LETTERS, 2020, 45 (18) : 5000 - 5003
  • [5] Microwave photonic signal down-conversion using a novel two-frequency Bragg grating based Brillouin fiber laser
    Shen, YC
    Zhang, XM
    Chen, KS
    INTERNATIONAL JOURNAL OF INFRARED AND MILLIMETER WAVES, 2004, 25 (12): : 1805 - 1809
  • [6] Photonic microwave frequency measurement based on harmonic down-conversion by using a semiconductor optical amplifier
    Zou, Xinhai
    Qi, Lin
    Zhang, Shangjian
    Li, Renpu
    Di, Ke
    Liu, Yu
    REAL-TIME PHOTONIC MEASUREMENTS, DATA MANAGEMENT, AND PROCESSING V, 2020, 11555
  • [7] Photonic Microwave Down-Conversion Based on Linear Modulation and Filtering
    Hossein-Zadeh, Mani
    Levi, A. F. J.
    2011 IEEE PHOTONICS CONFERENCE (PHO), 2011, : 89 - +
  • [8] PHONON DIFFUSION WITH FREQUENCY DOWN-CONVERSION
    KAZAKOVTSEV, DV
    LEVINSON, YB
    PHYSICA STATUS SOLIDI B-BASIC RESEARCH, 1979, 96 (01): : 117 - 127
  • [9] Microwave photonic frequency down-conversion with self-interference cancellation and SSBI
    Li, Xiaoyang
    Wen, Aijun
    Li, Xiangrui
    Tu, Zhaoyang
    Lei, Chenyang
    Wang, Yong
    OPTICS COMMUNICATIONS, 2022, 504
  • [10] Photonic-assisted ultra-broadband microwave frequency down-conversion
    Liang, Qijun
    Gao, Guangyu
    Liu, Naijin
    2019 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE (ACP), 2019,