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

摘要/Abstract

摘要：

为提高可见光下行链路的通信质量,文中搭建了基于OpenMV的可见光通信自动对准系统。该系统基于图像处理和颜色识别等技术,实现室内白光LED(Light Emitting Diode)的自动识别。系统通过灰度质心法确定白光LED的质心坐标,并使用PID(Proportional Integral Differential)算法驱动舵机实现室内白光LED的跟踪。实验结果表明,在接收距离2 m处,可见光通信自动对准系统能在多种运动轨迹下实现白光LED的自动对准,最大对准角度误差小于0.534°。此外,无论是白光LED被遮挡还是存在干扰光源,系统仍能保持良好的跟踪效果,表明系统具有良好的鲁棒性。

关键词: 可见光通信, 自动对准, 图像处理, OpenMV, 白光LED, 颜色识别, PID算法, 鲁棒性

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

中图分类号:

TN929.1

苑振博,白勃,张晓薇,罗柳君,尚韬. 基于图像处理的可见光通信自动对准系统[J]. 电子科技, 2023, 36(6): 8-15.

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.

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参考文献 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.