摘要
光纤网络的路由冲突容易导致信道失衡,为了提高光纤网络的安全等级,提出一种基于Kalman融合滤波检测的光纤网络安全等级预测算法,提取反映光纤网络安全等级的链路通信信号,对网络传输信号进行经验模态分解,采用时频分析方法将传输信号从时域向频域转换,提取光纤网络通信信号的安全等级属性特征量,采用自适应Kalman融合滤波检测方法进行光纤网络的安全等级数据检测,实现对光纤网络的传输信道均衡处理,结合信道盲均衡和匹配滤波技术实现光纤网络安全等级准确预测。仿真结果表明,采用该方法进行光纤网络安全等级预测的准确性较高,提高了光纤网络传输信道的均衡性,确保了网络传输通信信号的安全。
The routing conflict of optical fiber network easily leads to channel imbalance. In order to improve the security level of fiber network,a fiber network security level prediction algorithm based on Kalman fusion filter detection is proposed. Extract the link communication signal which reflects the security level of fiber network and the empirical mode decomposition of the transmit signals is carried out. The time-frequency analysis method is used to transform the transmission signal from the time domain to the frequency domain,and the security level attribute feature quantity of the fiber network communication signal is extracted. The adaptive Kalman fusion filter detection method is used to detect the security level data of the fiber network to realize the transmission channel equalization processing for the optical fiber network. The channel blind equalization and the matched filtering technology are combined to realize the accurate prediction of the security level of the optical network. The simulation results show that the accuracy of the fiber network security level prediction is higher,the balance of the fiber network transmission channel is improved,and the security of the network transmission communication signal is ensured.
作者
黄春华
HUANG Chunhua(Sichuan Post &Telecommunication College,Chengdu Sichuan 610067,China)
出处
《激光杂志》
北大核心
2019年第1期150-154,共5页
Laser Journal
关键词
光纤网络
安全等级
预测
KALMAN滤波
经验模态分解
optic fiber network
security level
prediction
Kalman filtering
empirical mode decomposition
