摘要
针对现有信号调制技术存在计算复杂、操作不便等缺点,该文提出了一种基于卷积-轮廓恒星图像算法的信号调制方法。传统轮廓恒星图像算法未能考虑单个样本点与全局样本点联系的缺陷,所提算法对其进行了增强;为解决增强后的方法计算量过大,引入了卷积运算和正交振幅调制方法。相关实验结果表明,所提方法在信号符长度为14000 bit时和图片分辨率大小为600 px×600 px时所需的运行时间分别为19 s和24 s,综合性能优于对比算法。因此,所提方法能够满足对自由空间光通信系统的信号调制性能需求。
A novel signal modulation method based on Convolution-Contour Star Image algorithm is proposed in this paper,aiming at the shortcomings of existing signal modulation technology such as complex computation and inconvenient operation.The traditional Contour Star Image algorithm fails to consider the connection between a single sample point and a global sample point,so it is enhanced.In response to the drawback of the increased computational complexity of the enhanced method,convolution operation and orthogonal amplitude modulation method are introduced.Relevant experiments were conducted,and the results showed that the proposed method required a running time of 19 seconds and 24 seconds,respectively,when the signal symbol length was 14000 bit and the image resolution was 600 px×600 px.The overall performance was better than the compared algorithms.Therefore,the proposed method can meet the demand of signal modulation performance for free-space optical communication systems.
作者
张平
唐大钧
杨辉
胡全清
曾义
ZHANG Ping;TANG Dajun;YANG Hui;HU Quanqing;ZENG Yi(Hunan Wuling Electric Power Technology Co.,Ltd.,Changsha 410000,China;College of Communication Engineering,Jilin University,Changchun 130000,China)
出处
《电子设计工程》
2024年第24期181-186,共6页
Electronic Design Engineering
关键词
卷积-轮廓恒星图像算法
自由空间光通信
调制
数据转换
深度学习
Convolution-Contour Star Image algorithm
free space optical communication
modulation
data conversion
deep learning
