Advanced Search
中文
Volume 46 Issue 1
Jan.  2024
Turn off MathJax
Article Contents
Abstract
References
Related Articles
LI Xindong, WANG Juan, FENG Zongxin, SHI Hanbing, WANG Kun. Adaptive Gain Photoelectric Detection Circuit Design[J]. Infrared Technology , 2024, 46(1): 12-19.
Citation: LI Xindong, WANG Juan, FENG Zongxin, SHI Hanbing, WANG Kun. Adaptive Gain Photoelectric Detection Circuit Design[J]. Infrared Technology , 2024, 46(1): 12-19.
shu

Adaptive Gain Photoelectric Detection Circuit Design

  • College of Mechanical and Electrical Engineering, Xi 'an University of Architecture and Technology, Xi' an 710055, China

More Information
  • Received Date: August 31, 2022
  • Revised Date: February 14, 2023
    Graphical Abstract
    • Abstract
  • In laser simulation combat systems, the traditional photoelectric detection circuit is significantly affected by the environment, the system is unstable, and the detection efficiency is low. To solve this problem, a gain-adaptive photoelectric detection circuit based on a single-chip microcomputer was designed according to the principle of photoelectric signal detection. Based on a traditional photoelectric detection circuit, two symmetrically distributed transimpedance amplification feedback circuits were used to eliminate the bias of the photodetector and suppress the system noise of the preamplifier circuit. An automatic gain-control circuit was used to stabilize the output signal amplitude at different shooting distances. The multistage filtering method was used to remove the DC component of the signal and effectively suppress the background noise, providing preparation for further signal processing. Experimental verification and TINA-TI simulation analysis show that the photoelectric detection circuit achieves an adaptive gain change, and the output voltage amplitude is stable at approximately 2 V at different incident distances. Its performance is clearly better than that of a traditional fixed-gain circuit, significantly improving the detection ability of the photoelectric signal. The results verified the scientific nature and feasibility of the proposed photoelectric detection circuit design.
    • FullText(HTML)
    • References (30)
  • [1]
    FANG R, WANG C. Design and analysis of APD photoelectric detecting circuit[C]//Selected Papers of the Photoelectronic Technology Committee Conferences, SPIE, 2015, 9795: 547-552.
    [2]
    齐靓. 某反坦克导弹激光模拟器的设计与实现[D]. 沈阳: 东北大学, 2012.

    QI L. The Design and Implementation of an Anti-tank Missile Laser Simulator [D]. Shenyang: Northeastern University, 2012.
    [3]
    ZHANG Y, GUO Y, HE G. Design of photoelectric amplification circuit for laser fuze[C]//IOP Conference Series: Earth and Environmental Science, 2021, 692(2): 022010.
    [4]
    ZHU Likun, JIA Fangxiu, JIANG Xiaodong, et al. Photoelectric detection technology of laser seeker signals[J]. Journal of Systems Engineering and Electronics, 2019, 30(6): 1064-1073. DOI: 10.21629/JSEE.2019.06.02
    [5]
    WANG L, ZHANG Y, LI H, et al. Study on long distance transmission technique of weak photocurrent signal in laser gas sensor[J]. Chinese Optics Letters, 2012, 10(4): 042802. DOI: 10.3788/col201210.042802
    [6]
    XIE N, ZHANG Z, CHEN W. Design of signal conditioning circuit for photoelectric sensor[C]// 7th International Conference on Education, Management, Computer and Medicine (EMCM), 2017: 533-537.
    [7]
    REN M Y, TIAN L, WANG W, et al. Design of pre-amplifiers for photoelectric detector[C]//Applied Mechanics and Materials, 2013, 380: 3308-3311.
    [8]
    WANG L, ZHANG Y, LI H, et al. Study on long distance transmission technique of weak photocurrent signal in laser gas sensor[J]. Chinese Optics Letters, 2012, 10(4): 042802. DOI: 10.3788/col201210.042802
    [9]
    KONG L, CHEN Y, Boon C C, et al. A wideband inductorless dB-linear automatic gain control amplifier using a single-branch negative exponential generator for wireline applications[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2018, 65(10): 3196-3206. DOI: 10.1109/TCSI.2018.2827065
    [10]
    KO C T, KUAN T K, SHEN R P, et al. A 387.6 fs integrated jitter and-80dBc reference spurs ring based PLL with track-and-hold charge pump and automatic loop gain control in 7 nm FinFET CMOS[C]//Symposium on VLSI Circuits. IEEE, 2019: C164-C165.
    [11]
    王涛, 蔡喜平, 刘洋, 等. 可见光通信自适应接收系统的实验研究[J]. 光通信技术, 2019, 43(2): 18-21.

    WANG T, CAI X P, LIU Y, et al. Experimental study of adaptive receiving system for visible light communication[J]. Optical Communication Technology, 2019, 43(2): 18-21.
    [12]
    张天宇, 贾方秀. 基于PSD窄脉冲激光信号检测放大电路噪声分析及参数匹配研究[J]. 现代电子技术, 2019, 42(10): 35-39.

    ZHANG T Y, JIA F X. Noise analysis and parameter matching based on PSD[J]. Modern Electronic Technology, 2019, 42(10): 35-39.
    [13]
    LI C Y, CHENG Z, CHEN F, et al. Design of a photoelectric detection circuit in particle analysis apparatus for clinical liquid sample[C]//Applied Mechanics and Materials, 2015, 696: 134-140.
    [14]
    QIN J, CUI S, DAI J. Noise analysis and compensation strategy of photoelectric detection circuit[C]//Journal of Physics: Conference Series, 2020, 1601(2): 022047.
    [15]
    LI X, RAO W, GENG D. Design and analysis of weak optical signal detection system based on photoelectric detection technology[J]. Journal of Nanoelectronics and Optoelectronics, 2018, 13(4): 458-466. DOI: 10.1166/jno.2018.2305
    [16]
    HE L L, ZHANG Z, GE L F. A design of weak photoelectric signal acquisition and process system based on LabVIEW[J]. Electrical Measurement and Instrumentation, 2010, 47(534): 65-68.
    [17]
    WU Zaiqun. Study on detection of weak signal by phase lock-in amplification[C]// 9th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). IEEE, 2017: 109-112.
    [18]
    张书博, 王昌建. 具有抗干扰功能的激光测距电路的设计与实现[J]. 激光杂志, 2017, 38(12): 105-109.

    ZHANG S B, WANG C J. Design and implementation of laser ranging circuit with anti-interference function[J]. Laser Magazine, 2017, 38(12): 105-109.
    [19]
    ZHENG A L, ZHANG J, HUANG B Z. Stability analysis and design of a mono-pulse photoelectric detecting system[C]//Applied Mechanics and Materials, 2013, 389: 680-684.
    [20]
    TAN Y Y, ZHANG H, ZHANG X J, et al. Design of low-noise receiving amplifier circuit for laser proximity fuze[C]//Advanced Materials Research, 2014, 926: 452-455.
    [21]
    MENG X, YUAN H, WANG Y. Research on the construction method of photoelectric detection preamplifier circuit combined with single chip microcomputer technology[C]// IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA), 2021: 516-520.
    [22]
    WANG J, XIA K, LI T, et al. Self-powered silicon PIN photoelectric detection system based on triboelectric nanogenerator[J]. Nano Energy, 2020, 69: 104461. DOI: 10.1016/j.nanoen.2020.104461
    [23]
    LI C, LU J, ZHAO Y, et al. Highly sensitive, fast response perovskite photodetectors demonstrated in weak light detection circuit and visible light communication system[J]. Small, 2019, 15(44): 1903599. DOI: 10.1002/smll.201903599
    [24]
    YANG H, XU X, LUO M, et al. Design of quadrant photoelectric detection system and method of displacement calculation[J]. Optik, 2019, 199: 163335. DOI: 10.1016/j.ijleo.2019.163335
    [25]
    KUANG X, FAN F, WANG T. A transimpedance amplifier with DC photocurrent rejection for infrared optical receiver[C]//IEEE 16th International Conference on Communication Technology (ICCT), 2015: 270-273.
    [26]
    BAI J, WU T, SHEN F, et al. A novel design of analog signal power amplifier module for relay protection tester[C]// 5th International Conference on Machinery, Materials and Computing Technology, 2017: 1071-1076.
    [27]
    ZHANG X, LI H, ZHANG S. Design and analysis of laser photoelectric detection sensor[J]. Microwave and Optical Technology Letters, 2021, 63(12): 3092-3099. DOI: 10.1002/mop.33011
    [28]
    LI H, LEI Z. Study and analysis on a new optical detection design method for photoelectric detection target[J]. Sensor review, 2013, 33(4): 315-322.
    [29]
    SHI A, LIANG Y. A design of signal processing circuit based on the duo-lateral PSD[C]// 5th International Conference on Intelligent Human-Machine Systems and Cybernetics. IEEE, 2013, 1: 255-258.
    [30]
    Arthur B. Williams. 模拟滤波器与电子设计手册[M]. 路秋生译. 北京: 电子工业出版社, 2016.

    Arthur B Williams. Analog Filter and Circuit Design Handbook [M]. Translation by Qiu-sheng L. Beijing: Electronic Industry Press, 2016.
    • Related Articles

  • Related Articles

    [1]ZHAO Yating, HAN Long, HE Huihuang, CHEN Chu. DSEL-CNN: Image Fusion Algorithm Combining Attention Mechanism and Balanced Loss[J]. Infrared Technology , 2025, 47(3): 358-366.
    [2]CHEN Zhuang, HE Feng, HONG Xiaohang, ZHANG Qiran, YANG Yuyan. Embedded Platform IR Small-target Detection Based on Self-attention and Convolution Fused Architecture[J]. Infrared Technology , 2025, 47(1): 89-96.
    [3]LI Xu, XIAO Zhiyun, JIANG Yedong, WANG Yazhou, SU Yu. Fault Detection and Identification of Multi-Source Insulators Based on Improved YOLOv7[J]. Infrared Technology , 2024, 46(11): 1325-1333.
    [4]YUE Mingkai, QUAN Kangnan, ZHANG Cong, HAN Ziqiang. Research on Infrared Small Target Detection Algorithm Based on Improved YOLOv8[J]. Infrared Technology , 2024, 46(11): 1286-1292.
    [5]GAO Yongqi, YUAN Zhixiang. Improved YOLOv5-based Underwater Infrared Garbage Detection Algorithm[J]. Infrared Technology , 2024, 46(9): 994-1005.
    [6]WANG You, HAN Lixiang, FU Gui. Aerial Infrared Image Target Recognition Method Based on Improved YOLOv5s[J]. Infrared Technology , 2024, 46(7): 775-781, 801.
    [7]GAO Mingming, LI Yuanzhou, MA Lei, NAN Jingchang, ZHOU Qianyi. YOLOv5-LR: A Rotating Object Detection Model for Remote Sensing Images[J]. Infrared Technology , 2024, 46(1): 43-51.
    [8]SHEN Lingyun, LANG Baihe, SONG Zhengxun, WEN Zhitao. Remote Sensing Image Target Detection Method Based on CSE-YOLOv5[J]. Infrared Technology , 2023, 45(11): 1187-1197.
    [9]KONG Songtao, XU Zhenze, LIN Xingyu, ZHANG Chunqiu, JIANG Guoqing, ZHANG Chunqing, WANG Kun. Infrared Thermal Imaging Defect Detection of Photovoltaic Module Based on Improved YOLO v5 Algorithm[J]. Infrared Technology , 2023, 45(9): 974-981.
    [10]HU Yan, HU Haobing, ZHAO Yuhang, YUAN Zihao, SI Chengke. Infrared Thermal Imaging Low-Resolution and Small Pedestrian Target Detection Method[J]. Infrared Technology , 2022, 44(11): 1146-1153.

  • Cited by

    Periodical cited type(25)

    1. 李阳，丘建培，宋坤. 基于音视频多模态数据感知的智能巡检系统设计与应用. 现代信息科技. 2025(03): 189-193 .
    2. 周亚男. 光伏电站运维现状分析. 太阳能. 2024(01): 12-19 .
    3. 兰金江，曾学仁，方亮，田楠，王志强，刘继江. 基于无人机巡检的光伏缺陷检测与定位. 科技创新与应用. 2024(18): 14-19 .
    4. 任鹏，张哲，于洋. 基于边缘计算的县域分布式光伏智能巡检方法. 吉林电力. 2024(03): 28-31 .
    5. 温建国. 智能无人机红外巡检技术在光伏电站故障诊断中的应用. 中国战略新兴产业. 2024(26): 23-25 .
    6. 侯伟，陈雅，宋承继，刘强锋. 基于改进YOLOv5算法的无人机巡检图像智能识别方法. 微型电脑应用. 2024(09): 26-30+36 .
    7. 杨梅，马建新，陈炳森，赵泽政. 光伏电站无人机自动巡检及故障诊断技术应用. 计量与测试技术. 2024(09): 89-92 .
    8. 吴张宇，吴池莉，于慧铭，政幸男，张啸宇. 面向大规模光伏电站的无人机巡检路径规划策略. 综合智慧能源. 2024(11): 46-53 .
    9. 李峰，林维修，乐锋，许育燕，张斌. 一种基于无人机的光伏异常检测方法研究. 人工智能科学与工程. 2024(04): 86-92 .
    10. 陈大涛，高伟新，宇文磊县，赵良成，高永鑫，吴良，回峰. 基于无人机巡查的光伏电站检查系统设计. 集成电路应用. 2024(12): 72-75 .
    11. 曹瑞安. 基于AI机器视觉技术的新能源无人值守场站自动巡检方法. 电力大数据. 2024(11): 48-56 .
    12. 吕德利，王旋. 一种基于GPS定位技术的无人机智能光伏巡检系统. 科技创新与应用. 2023(06): 37-40 .
    13. 李德维. 光伏电站组件诊断中无人机智能巡检的应用. 光源与照明. 2023(01): 102-105 .
    14. 潘巧波，李昂，何梓瑜，唐梓彭. 数字化电厂智慧平台在光伏电站的应用. 黑龙江电力. 2023(02): 137-142 .
    15. 张永伟，李贵，马玉权，汪海波. 基于高精度快速故障识别的智能光伏视频巡检系统研究. 电力信息与通信技术. 2023(06): 73-78 .
    16. 范群. 智能集控平台在光伏发电站生产中的应用策略. 光源与照明. 2023(06): 142-144 .
    17. 白玉龙，孙茹洁，哈永华. 光伏电站自主巡检中的无人机视觉定位算法研究. 电子元器件与信息技术. 2023(05): 72-75 .
    18. 邓拥正，杨健. 浅谈无人机在光伏电站巡检中的应用. 红水河. 2023(04): 69-72 .
    19. 王佳文，朱永灿，王帅，李科锋. 航拍光伏组件图像的畸变校正方法研究. 湖南电力. 2023(04): 74-79 .
    20. 周登科，郭星辰，史凯特，汤鹏，郑开元，马鹏阁. 风电场无人机巡检红外叶片图像拼接算法. 红外技术. 2023(12): 1161-1168 . 本站查看
    21. 李智强. 基于无人机航拍摄影的变电站运行环境智能巡检方法. 电气技术与经济. 2023(10): 146-148 .
    22. 艾上美，周剑峰，张必朝，张涛，王红斌. 基于改进SSD算法的光伏组件缺陷检测研究. 智慧电力. 2023(12): 53-58 .
    23. 周登科，郭星辰，史凯特，汤鹏，郑开元，马鹏阁. 风电场无人机巡检红外叶片图像拼接算法. 红外技术. 2023(11): 1161-1168 . 本站查看
    24. 孙霞，张洁，赵厚群，张坤乾，缪玉婷. Petri网在架空电缆无人机巡检方面的研究. 绥化学院学报. 2022(12): 139-142 .
    25. 李垚，魏文震，杨增健，赵鑫，吕健. 基于大数据的变电站在线智能巡视系统的研究. 电力大数据. 2022(11): 47-55 .

    Other cited types(10)

Catalog

    Get Citation
    PDF
    XML
    Article views PDF downloads Cited by(35)
    Related

    Copyright © 《Infrared Technology》Editorial Office滇ICP备12000354号-3

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return