改进k-means的多域光纤通信非线性失真补偿方法
Nonlinear distortion compensation method for multi-domain optical fiber communication based on improved k-means
赵淑君 1刘伟1
作者信息
- 1. 南阳理工学院计算机与软件学院,河南南阳 473000
- 折叠
摘要
为了解决光纤通信信号在传输过程中受到非线性影响而产生的失真问题,提高光纤通信系统的稳定性,提出了改进k-means的多域光纤通信非线性失真补偿方法.构建多域光纤通信传输模型,在传输端利用波长转换器将输入信号传输到光纤,结合干扰原理线性化脉冲恢复光信号.以信噪比描述光纤通信的色散特性,明确信号交互出现非线性失真变化.通过Dijkstra方法改进k-means方法,解调失真星座,避免聚类陷入局部最优,使全部簇信号尽可能接近原始调制中心,实现失真补偿.实验结果表明:利用所提方法对光纤通信非线性失真进行补偿后,聚类效果较佳,信息误码率可降至10-7,有效减少了网络传输消耗,提高光纤通信信号质量.
Abstract
In order to solve the distortion problem caused by nonlinear effects on fiber optic communication signals during transmission and improve the stability of fiber optic communication systems,an improved k-means multi domain fiber optic communication nonlinear distortion compensation method is proposed.Build a multi domain optical fiber communication transmission model,use a wavelength converter at the transmission end to transmit the input signal to the fiber,and linearize the pulse recovery optical signal based on interference principle.Describe the dispersion char-acteristics of fiber optic communication using signal-to-noise ratio,and clarify the occurrence of nonlinear distortion changes in signal interaction.By improving the k-means method through the Dijkstra method,the distortion constella-tion is demodulated to avoid clustering falling into local optima,making all cluster signals as close as possible to the o-riginal modulation center,and achieving distortion compensation.The experimental results show that after compensa-ting for nonlinear distortion in fiber optic communication using the proposed method,the clustering effect is better,and the information error rate can be reduced to 10-7,effectively reducing network transmission consumption and improving the quality of fiber optic communication signals.
关键词
改进k-means方法/多域光纤通信/非线性失真补偿/Dijkstra方法/马可科夫方程Key words
improved k-means method/multi-domain optical fiber communication/nonlinear distortion compen-sation/Dijkstra method/markkov equation引用本文复制引用
基金项目
河南省科技攻关计划(172102310761)
出版年
2024
NETL
NSTL
万方数据