基于粒子群优化神经网络的光网络节点信号异常数据提取  

Extracting abnormal signal data from optical network nodes based on particle swarm optimization neural network

作　　者：何健 张瀚驰 HE Jian;ZHANG Hanchi(Shenyang Institute of Technology,Shenyang 110020,China)

机构地区：[1]沈阳工学院,沈阳110020

出　　处：《激光杂志》2025年第3期181-186,共6页Laser Journal

基　　金：辽宁省自然科学基金项目(No.52367891)。

摘　　要：随着现代光通信网络的快速发展,光网络的安全性备受瞩目。为了保证信息的准确性,降低光网络异常信息出现的频率,提出基于粒子群优化光网络节点信号异常数据提取方法。首先,设计滤波器组对光网络节点信号展开频带处理。在此基础上构造判决统计量,将其作为依据判决处理各频带,实现节点信号增强处理;其次,依据经验模态算法对节点信号展开分解,通过筛选获取有效的IMF分量,计算其能量作为该节点信号特征,为后续异常数据的提取提供依据。最后,通过粒子群优化算法优化BP神经网络权值,将节点信号特征输入优化后的神经网络,实现光网络节点信号异常数据提取。经实验验证:该方法对节点信号增强效果好,提取IMF分量能量以及光网络节点信号异常数据精度高、稳定性好。With the rapid development of modern optical communication networks,the security of optical networks has attracted much attention.In order to ensure the accuracy of information and reduce the frequency of abnormal information in optical networks,a particle swarm optimization based method for extracting abnormal signal data from optical network nodes is proposed.Firstly,design a filter bank to perform frequency band processing on the signals of optical network nodes.On this basis,construct decision statistics and use them as the basis for decision processing of each frequency band to achieve node signal enhancement processing;Secondly,based on the empirical modal algorithm,the node signal is decomposed,and effective IMF components are obtained through screening,and their energy is calculated as the signal feature of the node,providing a basis for the subsequent extraction of abnormal data.Finally,the particle swarm optimization algorithm is used to optimize the weights of the BP neural network,and the node signal features are input into the optimized neural network to extract abnormal data from the optical network node signals.Experimental verification shows that this method has a good effect on enhancing node signals,with high accuracy and stability in extracting IMF component energy and abnormal data of optical network node signals.

关 键 词：光网络节点信号 经验模态分解 BP神经网络 粒子群算法 异常数据提取 

分 类 号：TN911[电子电信—通信与信息系统]