摘要
针对当前大气激光通信中的信道时变特征估计方法存在的一些不足,以获更优的大气激光通信效果,设计了一种新的大气激光通信信道时变特征估计方法。首先分析大气激光通信信道瞄准误差和信道中断概率分析,并分析发射端误差角随机抖动对接收端光强起伏的影响情况,建立大气激光通信信道传输矩阵,然后建立大气激光通信信道捕获模型,对发射功率与中断概率优化,并实现了大气激光通信信道时变特征估计,最后进行了大气激光通信信道时变特征估计仿真实验,结果表明,大气激光通信中的信道时变特征估计精度明显优于传统方法,能够提高大气激光通信信道数据传输成功率。
For the shortcomings of current channel time-varying feature estimation methods in atmospheric laser communication,in order to obtain better atmospheric laser communication effect,a new channel time-varying feature estimation method is designed.Firstly,the aiming error and the interruption probability of atmospheric laser communication channel are analyzed,and the influence of random jitter of angle between transmitting end and aiming error on the fluctuation of light intensity of receiving end is analyzed.The transmission matrix of atmospheric laser communication channel is established,and then the acquisition model of atmospheric laser communication channel is established to optimize transmitting power and interruption probability,and the time-varying characteristics of atmospheric laser communication channel are realized.Finally,the simulation experiment of time-varying characteristic estimation of atmospheric laser communication channel is carried out.The results show that the interruption times of channel time-varying characteristic estimation method in atmospheric laser communication are obviously less than that of comparison,and data transmission can be carried out with high accuracy.
作者
马艳梅
章科峰
MA Yanmei;ZHANG Kefeng(College of Information Engineering,Wuhan Huaxia University of Technology,Wuhan 430223,China)
出处
《激光杂志》
北大核心
2020年第8期159-162,共4页
Laser Journal
基金
湖北省教育厅科研计划指导性项目(No.B2016412)
武汉华夏理工学院质量工程项目(No.2014110)
武汉华夏理工学院教研项目(No.1723)。
关键词
人工智能技术
大气激光通信
信道中断
数据传输
决策树
artificial intelligence technology
atmospheric laser communication
channel interruption
data transmission
decision tree
作者简介
马艳梅(1984-),女,硕士,讲师,主要研究方向:无线通信应用与研究,终端应用研究及开发等。
