基于非单点模糊RBF网络的判决反馈均衡器

A decision feedback equalizer based on non-singleton fuzzy RBF network

摘要: 提出了一种具有较强抗突发干扰能力的非单点模糊径向基函数（Radial Basis Function，RBF）网络判决反馈均衡器.该方法将具有前置滤波特性的非单点模糊化技术引入RBF网络，利用梯度下降法自适应调整参数.通过仿真实验，并与基于径向基函数网络的判决反馈均衡器（Radial Basis Function Network-Decision Feedback Equalizer，RBFN-DFE）和传统判决反馈均衡器（Decision Feedback Equalizer，DFE）进行比较，结果证明该方法抗突发干扰能力强，误码性能好.

Abstract: A non-singleton fuzzy radial basis function (RBF) network based decision feedback equalizer is proposed in this paper for severely nonlinear distorted channels with burst jamming. The method introduced non-singleton fuzzy technology with preceding filtering capability into RBF network, and adjusted the tunable parameters by gradient-descent algorithm. Simulation is carried out to compare it with other nonlinear channel equalizers. The result shows the method has better performance on anti-burst jamming and bit error rate.