基于图像处理的可见光通信自动对准系统

doi:10.16180/j.cnki.issn1007-7820.2023.06.002

Abstract

Abstract:

In order to improve the communication quality of visible light downlink, an automatic alignment system for visible light communication based on OpenMV is designed in this study. The system realizes automatic recognition of indoor white LED is based on image processing and color recognition. The system uses gray-scale centroid method to determine the centroid coordinates of white LED, and the PID algorithm is used to drive steering gears to achieve the tracking of the indoor white light LED. The experimental results show that the automatic alignment system of visible light communication can realize the automatic alignment of white LED under various motion trajectories at the receiving distance of 2 m, and the maximum alignment angle error is less than 0.534°. In addition, whether the white LED is blocked or there is an interfering light source, system can still maintain the good tracking effect, indicating that system has good robustness.

Key words: visible light communication, automatic alignment, image processing, OpenMV, white light LED, color recognition, PID algorithm, robustness

CLC Number:

TN929.1

YUAN Zhenbo,BAI Bo,ZHANG Xiaowei,LUO Liujun,SHANG Tao. Automatic Alignment System for Visible Light Communication Based on Image Processing[J].Electronic Science and Technology, 2023, 36(6): 8-15.

Figures/Tables 14

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

Figure 8.

Figure 9.

Figure 10.

Figure 11.

Figure 12.

Figure 13.

References 19

[1]	邹鹏, 赵一衡, 胡昉辰, 等. 基于机器学习的可见光通信信号处理研究现状[J]. 激光与光电子学进展, 2020, 57(1):9-21.
	Zou Peng, Zhao Yiheng, Hu Fangchen, et al. Research status of machine learning based signal processing in visible light communication[J]. Progress in Laser and Optoelectronics, 2020, 57(1):9-21.
[2]	左宁, 胡晓霞. 自动检测系统中图像对准方法研究[J]. 电子工业专用设备, 2018, 47(6):41-46.
	Zuo Ning, Hu Xiaoxia. Research on image alignment method in ADS[J]. Special Equipment for Electronics Industry, 2018, 47(6):41-46.
[3]	席瑞, 李玉军, 侯孟书. 室内定位方法综述[J]. 计算机科学, 2015, 43(4):1-6. doi: 10.1063/1.31301
	Xi Rui, Li Yujun, Hou Mengshu. Overview of indoor positioning methods[J]. Computer Science, 2015, 43(4):1-6. doi: 10.1063/1.31301
[4]	曹奕铖. 双相机双光源视线追踪系统的研究与设计[D]. 杭州: 浙江理工大学, 2019:35-68.
	Cao Yicheng. Research and design of dual-camera dual-light source line-of-sight tracking system[D]. Hangzhou: Zhejiang Sci-Tech University, 2019:35-68.
[5]	蒋明争. 室内可见光通信自动对准技术研究[D]. 西安: 西安理工大学, 2020:15-25.
	Jiang Mingzheng. Research on automatic alignment technology of indoor visible light communication[D]. Xi'an: Xi'an University of Technology, 2020:15-25.
[6]	徐春燕, 尹章专. 点光源跟踪系统设计与实现[J]. 仪器仪表用户, 2017, 24(10):34-37.
	Xu Chunyan, Yin Zhangzhuan. Design and implementation of point light source tracking system[J]. Instrumentation Users, 2017, 24(10):34-37.
[7]	罗静. 空间光耦合自动对准技术研究[D]. 西安: 西安理工大学, 2018:35-67.
	Luo Jing. Research on spatial light coupling automatic alignment technology[D]. Xi'an: Xi'an University of Technology, 2018:35-67.
[8]	迪娜·加尔肯. 基于MATLAB的图像分割算法研究及实现[J]. 科学技术创新, 2021(26):84-86.
	Dina Galken. Research and implementation of image segmentation algorithm based on MATLAB[J]. Innovation in Science and Technology, 2021(26):84-86.
[9]	王玮, 巴音贺希格, 宋莹, 等. 扫描干涉场曝光光束自动对准及其收敛性分析[J]. 中国激光, 2016, 43(12):176-183.
	Wang Wei, Bayanheshig, Song Ying, et al. Automatic alignment and convergence analysis of scanning interference field exposure beam[J]. Chinese Laser, 2016, 43(12):176-183.
[10]	徐文艳, 于宏毅, 杨森. 以用户为中心的可见光通信协作传输中训练资源分配算法[J]. 激光与光电子学进展, 2020, 57(1):76-83.
	Xu Wenyan, Yu Hongyi, Yang Sen. Training resource allocation algorithm in user-centered visible light communication cooperative transmission[J]. Progress in Laser and Optoelectronics, 2020, 57(1):76-83.
[11]	陈晓红, 钱晨, 洪文昕, 等. 基于二维码的可见光室内定位方法及实现[J]. 电子科技, 2017, 30(12):34-38.
	Chen Xiaohong, Qian Chen, Hong Wenxin, et al. Visible light indoor positioning method and realization based on two-dimensional code[J]. Electronic Science and Technology, 2017, 30(12):34-38.
[12]	邓海峰, 申江江, 何勰, 等. 战术无人机视距下行通信链路信道模形特性的研究[J]. 电子设计工程, 2021, 29(17):94-98.
	Deng Haifeng, Shen Jiangjiang, He Xie, et al. Research on channel model characteristics of line-of-sight downlink communication link for tactical UAV[J]. Electronic Design Engineering, 2021, 29(17):94-98.
[13]	苏志. 微波超视距通信自适应跳频技术研究[D]. 成都: 电子科技大学, 2020:26-57.
	Su Zhi. Research on adaptive frequency hopping technology for microwave beyond-horizon communication[D]. Chengdu: University of Electronic Science and Technology of China, 2020:26-57.
[14]	李荣玲. 基于白光 LED 的可见光通信系统[D]. 上海: 复旦大学, 2014:38-67.
	Li Rongling. Visible light communication system based on white light LED[D]. Shanghai: Fudan University, 2014:38-67.
[15]	尹传海. 基于图像处理的自动曝光和自动对焦算法研究[D]. 苏州: 苏州大学, 2017:15-24.
	Yin Chuanhai. Research on auto exposure and auto focus algorithm based on image processing[D]. Suzhou: Soochow University, 2017: 5-24.
[16]	刘逢丁, 曹杰, 王营博, 等. 激光雷达距离像的实时边缘检测[J]. 光学技术, 2021, 47(4):404-409.
	Liu Fengding, Cao Jie, Wang Yingbo, et al. Real-time edge detection of range profile of lidar[J]. Optics Technology, 2021, 47(4):404-409.
[17]	聂文都, 蔡锦凡. 基于OpenCV与SVM的车牌识别方法[J]. 计算机与数字工程, 2021, 49(6):1244-1247.
	Nie Wendu, Cai Jinfan. License plate recognition method based on OpenCV and SVM[J]. Computer and Digital Engineering, 2021, 49(6):1244-1247.
[18]	邹杰. 小型化可见光实时通信技术研究与系统实现[D]. 北京: 北京邮电大学, 2019:46-89.
	Zou Jie. Research and system implementation of miniaturized visible light real-time communication technology[D]. Beijing: Beijing University of Posts and Telecommunications, 2019:46-89.
[19]	郭婕, 金海, 沈昕格. 基于神经网络PID算法的四旋翼无人机优化控制[J]. 电子科技, 2021, 34(10):51-55.
	Guo Jie, Jin Hai, Shen Xinge. Optimal control of quad-rotor UAV based on neural network PID algorithm[J]. Electronic Science and Technology, 2021, 34(10):51-55.

Automatic Alignment System for Visible Light Communication Based on Image Processing

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 14

References 19

Related Articles 15

Metrics

Comments

Recommended 10

[1]	LIU Meihong,HONG Enhang,LI Zhenhua,TENG Baoren. Study on Wire Arc Additive Manufacturing Forming Based on Image Processing and Numerical Simulation [J]. Electronic Science and Technology, 2023, 36(1): 7-14.
[2]	BI Jiazhen,SHEN Tuo,ZHANG Xuanxiong. A Research on Distance Measurement Between Trains in Rail Transit Based on Machine Vision [J]. Electronic Science and Technology, 2022, 35(9): 37-43.
[3]	JIN Aijuan,SHAO Feixuan,YAN Ziguang. Vector Control of Induction Motor Based on Adaptive Fuzzy Neural Network [J]. Electronic Science and Technology, 2022, 35(9): 65-73.
[4]	FENG Junyi,SHEN Tuo,ZHANG Xuanxiong. Trackside Signal Light Recognition Based on Image Processing [J]. Electronic Science and Technology, 2022, 35(8): 53-57.
[5]	SUN Xiang,PEI Xiaofang,ZHOU Wang,ZHU Ping. Crop Height Measurement Based on Ruler Image Recognition [J]. Electronic Science and Technology, 2022, 35(7): 32-39.
[6]	ZHANG Chongchong,HUANG Yayu. A GA-BP Neural Network for Predicting the Structure of Leaf Tobacco [J]. Electronic Science and Technology, 2022, 35(6): 35-42.
[7]	Sunyun YANG,Xiu KAN. Design of Biological Behavior Analysis System Based on Vision and IMU Sensors [J]. Electronic Science and Technology, 2022, 35(4): 28-34.
[8]	Lingyu JI,Yongbin GAO,Chenglu ZHAO,Xianhua TANG,Kaicheng XU,Jiacheng XU. CTA Segmentation Algorithm of Abdominal Artery Based on 3D Fully Convolutional Network [J]. Electronic Science and Technology, 2022, 35(3): 38-44.
[9]	ZHANG Zhihao,FU Dongxiang,YAN Rui. A Measuring System for Frame Size Based on Image Processing Technology [J]. Electronic Science and Technology, 2022, 35(11): 42-47.
[10]	CHENG Xiaoya,ZHANG Lei. Research on Occluded Face Recognition Method Based on Deep Learning [J]. Electronic Science and Technology, 2022, 35(1): 35-39.
[11]	ZONG Shengkang,CHENG Jianpeng,ZHANG Xiliang. Automatic Detection Method of Crane Track Altitude Difference Based on Spot Position [J]. Electronic Science and Technology, 2022, 35(1): 21-28.
[12]	SONG Zhangming,HE Huiyong,HUANG Yuejun. Study on On-Line Detection of Surface Defects of Flat Enameled Wire [J]. Electronic Science and Technology, 2021, 34(5): 72-78.
[13]	YAN Chao,SUN Zhanquan,TIAN Engang,ZHAO Yangyang,FAN Xiaoyan. Research Progress of Medical Image Segmentation Based on Deep Learning [J]. Electronic Science and Technology, 2021, 34(2): 7-11.
[14]	CHEN Wenyou,ZHANG Wei,SHI Xiaofan,SONG Fang. A Semi-Dense 3D Reconstruction ORB-SLAM Algorithm with Improved ORB Feature Matching [J]. Electronic Science and Technology, 2021, 34(12): 62-67.
[15]	ZHOU Jiuling,MENG Juanjuan,LI Yudong. Study on Six Pulse Double Variable AC-AC Frequency Converter with Step Frequency, Voltage and Speed Regulation [J]. Electronic Science and Technology, 2021, 34(11): 88-94.