基于子波变换的相干光通信链路窄带干扰信号辨识研究

Research on narrowband interference signal identification in coherent optical communication links based on wavelet transform

光通信链路上除了窄带干扰信号外,还存在其他噪声干扰源,这些噪声信号可能会掩盖或干扰窄带干扰信号的特征,增加了辨识的困难,为此提出基于子波变换的相干光通信链路窄带干扰信号辨识方法。通过光通信链路函数获取光通信信号,并对采集到的信号展开子波变换处理,去除信号噪声的同时保证通信信号质量。根据干扰类型建立干扰信号的专家知识图谱,利用卷积神经网络构建干扰信号辨识模型,将子波变换处理后的通信信号输入干扰信号辨识模型中开展特征提取,并根据提取特征结合专家知识图谱判断信号属于窄带干扰信号的概率,从而完成光通信链路窄带干扰信号的精准辨识。实验结果表明,利用该方法开展光通信链路窄带干扰信号辨识时,辨识精度高、辨识性能好,具有较高的实际应用价值。

In addition to narrowband interference signals,there are also other noise interference sources on the optical communication link.These noise signals may mask or interfere with the characteristics of narrowband interference signals,increasing the difficulty of identification.Therefore,a coherent optical communication link narrowband interference signal identification method based on wavelet transform is proposed.Obtain optical communication signals through optical communication link functions,and perform wavelet transform processing on the collected signals to remove signal noise while ensuring communication signal quality.Establish an expert knowledge graph of interference signals based on interference types,use convolutional neural networks to construct an interference signal identification model,input the communication signal processed by wavelet transform into the interference signal identification model for feature extraction,and combine the extracted features with the expert knowledge graph to determine the probability of the signal belonging to narrowband interference signals,thereby completing the accurate identification of narrowband interference signals in optical communication links.The experimental results show that using this method to identify narrowband interference signals in optical communication links has high identification accuracy and good identification performance,and has high practical application value.