提出一种利用增强型模糊神经网络进行盲均衡的新算法.增强型模糊神经网络具有很好的非线性逼近能力和映射能力,符合非线性通信技术处理的特点.给出增强型神经网络的结构和状态方程,提出代价函数,推导出均衡参数的迭代公式.仿真表明,本算法收敛后误码率减减小,收敛效果较好. A new algorithm for blind equalization using an enhanced fuzzy neural network is proposed. The enhanced fuzzy neural network has good nonlinear approximation ability and mapping ability, which accords with the characteristics of nonlinear communication technology. The structure of enhanced neural network And the equation of state, a cost function is proposed, and an iterative formula of the equalization parameter is derived. The simulation shows that the proposed algorithm has the advantages of small reduction of error rate and good convergence effect.