电波科学学报2017，Vol.32Issue(1)：84-89,6.DOI:10.13443/j.cjors.2016110101
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
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.关键词
均衡器/判决反馈/突发干扰/非单点模糊系统/神经网络Key words
equalizer/decision feedback/burst jamming/non-singleton fuzzy system/neural network分类
信息技术与安全科学引用本文复制引用
毛忠阳,刘敏,刘云飞,刘锡国..基于非单点模糊RBF网络的判决反馈均衡器[J].电波科学学报,2017,32(1):84-89,6.基金项目
中国博士后科学基金特别资助(2016T91018) （2016T91018）
国家自然科学基金资助课题(60772056) （60772056）
