基于小波神经网络的自适应均衡器的研究

The study of adaptive equalizer based on Wavelet Neural Networks

提出了基于小波神经网络的通信信道自适应均衡器 ,给出了这种均衡器的结构和训练算法。理论分析和计算机仿真均表明 ,与线性均衡器相比 ,基于小波神经网络的均衡器具有更快的收敛速度 ,是一种前景广阔的均衡器。

In this paper, the adaptive communication channel equalizer based on Wavelet Neural Networks (WNN) is introduced. The structure and training algorithm are presented. Theoretical analysis and computer simulations demonstrate that the speed of convergence of the adaptive equalizer based on WNN (WNE) is fas-ter than that of the linear equalizer and the envision is wide.