摘要
针对室外可见光通信系统受到不同天气条件的影响,本文考虑了车辆到车辆的通信链路,提出了一种室外可见光通信路径损耗模型,并通过实验测量验证了模型的可靠性。仿真分析了可见光在雨天、雾天、雪天的衰减,实验分析了不同天气条件下接收光功率的概率密度函数,讨论了不同信噪比以及不同通信距离下的接收误码率。仿真结果表明,降雨对可见光的衰减从大到小依次是:暴雨、小雨、大雨、中雨;降雪对可见光的衰减随着降雪强度的增大而增大,降雪强度相同时,干雪的衰减比湿雪大;雾天对可见光的衰减随着能见度的减小而增大。实测结果表明,路径损耗模型符合高斯分布,路径损耗越大,接收信号概率密度函数的方差就越大。
Aiming at the influence of outdoor visible light communication system under different weather conditions,this paper considers the vehicle-to-vehicle communication link,proposes an outdoor visible light communication path loss model,and verifies the reliability of the model through experimental measurements.The attenuation of visible light in rainy,foggy,and snowy days was simulated and analyzed.The probability density function of received optical power under different weather conditions was analyzed experimentally.The received bit error rate at different signal-to-noise ratios and different communication distances was discussed.The simulation results show that the attenuation of visible light by rainfall from large to small is of torrential rain,light rain,heavy rain,and moderate rain;the attenuation of visible light by snowfall increases with the increase of snowfall intensity.When the snowfall intensity is the same,the attenuation of dry snow greater than wet snow;the attenuation of visible light in fog increases as visibility decreases.The measured results show that the path loss model conforms to the Gaussian distribution;the greater the path loss,the greater the variance of the probability density function of the received signal.
作者
李征
许东升
梁静远
秦欢欢
柯熙政
LI Zheng;XU Dongsheng;LIANG Jingyuan;QIN Huanhuan;KE Xizheng(Faculty of Automation and Information Engineering,Xi’an University of Technology,Xi’an 710048,China;Shaanxi Civil-Military Integration Key Laboratory of Intelligence Collaborative Networks,Xi’an 710048,China)
出处
《西安理工大学学报》
CAS
北大核心
2023年第2期198-207,共10页
Journal of Xi'an University of Technology
基金
陕西省科研计划项目(18JK0341)
陕西省重点产业创新项目(2017ZDCXL-GY-06-01)
西安市科技计划项目(2020KJRC0083)。
关键词
室外可见光通信
智能交通系统
路径损耗
天气状况
outdoor visible light communication
intelligent transportation system
path loss
weather conditions
