BP神经网络算法的数字均衡技术研究

Research on Digital Equalization Technology of BP Neural Network Algorithms

在无线通信系统中,受多径效应的影响,不可避免会发生码间串扰(ISI),导致通信接收端的波形发生畸变,进而在接收端产生错误信息。在多径环境下,采用BP(Back Propagation)神经网络的均衡器能对串扰信号起到一定的校正效果,对降低通信系统误码率具有重要作用。因此,将以MATLAB为工具,对BP神经网络算法均衡在高误码率环境下的性能进行研究。

In wireless communication system,due to the influence of multipath effect,intersymbol interference(ISI)inevitably occurs,which leads to waveform distortion at the receiving end of the communication,and then produces error information at the receiving end.In multi-path environment,the equalizer based on BP(Back Propagation)neural network can correct crosstalk signal to some extent and play an important role in reducing the error rate of communication system.Therefore,using MATLAB as a tool,the performance of BP neural network algorithm equalization in high bit error rate environment is studied.