复杂环境背景下光纤通信信道中噪声去除方法研究

Research on noise removal method in optical fiber communication channel under complex environment

研究复杂环境背景下光纤通信信道中噪声去除方法,提高光纤通信信道数据传输质量。应用TPS-2024数字信号示波器采集多种复杂环境下信道中光纤通信信号数据,并利用K-means聚类算法聚类处理采集到的光纤通信信号数据,利用改进平移不变量小波阈值信道噪声去除方法,通过对光纤通信信号执行离散小波变换、平移、小波重构以及反平移等操作,去除光纤通信信号中的噪声,获得光纤通信信道同相位最终去噪信号。实验结果表明:该方法三条故障频率曲线非常接近,且即使数据量为80 000,传输速度为1 000 bit时,节点故障频率也仅为400次/时。能够实现复杂环境背景下光纤通信信道中噪声的有效去除,提高光纤通信信道数据传输质量、传输安全性与可靠性。

The noise removal method in optical fiber communication channel under the background of complex environment is studied to improve the data transmission quality of optical fiber communication channel. The digital signal oscilloscope is used to collect the optical fiber communication signal data in the channel under various complex environments, and the K-means clustering algorithm is used to cluster the collected optical fiber communication signal data. The improved translation invariant wavelet threshold channel noise removal method is used to perform discrete wavelet transform, translation, wavelet reconstruction and anti translation on the optical fiber communication signal, Remove the noise in the optical fiber communication signal and obtain the final de-noising signal in the same phase of the optical fiber communication channel. The experimental results show that the three fault frequency curves of this method are very close, and even if the amount of data is 80000 and the transmission speed is 1000 bit, the node fault frequency is only 400 times/hour. It can effectively remove the noise in the optical fiber communication channel under the background of complex environment, and improve the data transmission quality, transmission security and reliability of optical fiber communication channel.