Decision feedback equalizer based on non-singleton fuzzy regular neural networks

查看全文 作　　者：Song [1]Heng;Wang [1]Chen;He [2]Yin;Ma [1]Shiping;Zuo [1]Jizhang 机构地区：[1]School of Engineering, Air Force Engineering Univ., Xi'an 710038, P. R. China;[2]School of Information Engineering, Fudan Univ., Shanghai 210433, P.R. China. 出　　处：《Journal of Systems Engineering and Electronics》索引2006年第17卷第4期,共5页 摘　　要：A new equalization method is proposed in this paper for severely nonlinear distorted channels. The structure of decision feedback is adopted for the non-singleton fuzzy regular neural network that is trained by gradient-descent algorithm. The model shows a much better performance on anti-jamming and nonlinear classification, and simulation is carried out to compare this method with other nonlinear channel equalization methods. The results show the method has the least bit error rate (BER). 关 键 词：非单元素模糊系统 神经网络 决策反馈 均衡器