微型电脑应用

在光缆多路中继传输链路损耗监测中，由于信道缓慢衰落后的信号状态向量模糊，导致实际值与监测值偏差较大，为此，提出基于BP神经网络的光缆多路中继传输损耗监测方法。根据光缆多路中继传输特性，设计光缆中继链路传输特征的获取方法，通过高精度测量设备采集信号数据，获取中继链路传输特征。引入距离函数对去噪处理后的信号进行去模糊化处理，提取状态向量，进而计算衰减信号强度，为监测提供基础数据支持。利用时间域反射仪，探测光缆中继链路传输过程中的光功率，并结合BP神经网络输出预测的传输损耗值，实现高精度传输损耗监测。实验结果表明，所提方法监测得到的传输损耗值与实际值基本一致，拟合优度均值为90.11%,对光缆多路中继传输损耗监测的精度较高，实现了对传输质量的实时、精准监控。

In the monitoring of optical fiber cable multi-relay transmission link loss, the signal state vector after the slow fading of the channel is fuzzy, resulting in a large deviation between the actual value and the monitoring value. Therefore, a monitoring method of optical fiber cable multi-relay transmission loss based on BP neural network is proposed. According to the transmission characteristics of optical fiber cable, multi-relay an acquisition method of optical fiber cable relay link transmission characteristics is designed, and the signal data are collected by high-precision measuring equipment to obtain the transmission characteristics of the relay link. The distance function is introduced to de-blur the signal after de-noising, extract the state vector, and then calculate the attenuation signal intensity to provide basic data support for monitoring. The time domain reflector is used to detect the optical power in the transmission process of the optical fiber cable relay link, and the transmission loss is predicted by the output of BP neural network to achieve high-precision transmission loss monitoring. The experimental results show that the transmission loss value monitored by the proposed method is basically consistent with the actual value, and the average goodness of fit is 90.20%. The monitoring accuracy of the transmission loss of the optical fiber cable multi-relay is high, and the real-time and accurate monitoring of the transmission quality is realized.