一种降低光纤通信系统误码率的方法

针对光纤通信系统在传输过程中易受光纤线路、传输设备等因素干扰的问题,提出了一种利用基于卷积神经网络的编码器-解码器来降低接收端信号误码率的方法,从而提升光纤通信系统的抗干扰能力。具体地,利用伪随机二进制序列(Pseudo-Random Binary Sequence)码作为标签信号,将受干扰后的信号作为输入信号,训练出具有恢复受扰信号能力的卷积编码器-解码器。实验结果表明,卷积编码器-解码器能降低受一定程度干扰的信号误码率,具备提升光纤通信系统抗干扰性能的能力。

Method for Reducing BER of Optical Fiber Communication System

Aiming at the problem that the optical fiber communication system is easy to be interfered by the factors such as optical fiber line and transmission equipment in the transmission process,a method is proposed to reduce the BER(Bit Error Rate)of the received signal by using the encoder-decoder based on CNN(Convolutional Neural Network),so as to improve the anti-interference ability of the optical fiber communication system.Specifically,PRBS(Pseudo-Random Binary Sequence)code is used as the label signal and the disturbed signal as the input signal to train the CNN encoder-decoder with the ability to recover the disturbed signal.The experimental results indicate that the CNN encoder-decoder can reduce the BER of the signal disturbed to some extent,and thus has the ability to improve the anti-interference performance of the optical fiber communication system.