基于模糊神经网络新的盲均衡算法

New blind equalization algorithm based on fuzzy neuron network

本文提出一种新的模糊神经网络的盲均衡算法,模糊神经网络能够以任意精度逼近非线性函数,所以它可以直接作为信道的非理想特性补偿器。与原有神经网络盲均衡算法相比较,仿真结果表明本算法收敛速度加快,均方误差减小。

In this paper,a new blind equalization algorithm based on fuzzy neural network is proposed.FNN can approach nom-linear function with any precision,so it can equalize the non-ideal characters of the channel as a compensator.Compared with inhere neural algorithm,results of the simulation show that the new algorithm has faster convergence speed and lower square error.