摘要
提出并尝试将基于误差反传的前向神经网络用于ＣＤＭＡ系统的窄带干扰抑制，构成前向神经网络非线性判决反馈干扰抑制器（ＦＮＤＦＩＳ）；利用优化计算方法求解了误差反传网络的最佳权值，进而得出ＦＮＤＦＩＳ的信噪比改善，并同传统的非线性判决反馈干扰抑制器（ＤＦＩＳ）作了比较，其性能优于ＤＦＩＳ．
Two questiones are discussed.Firstly, a new type of interference suppressor was used to achieve the tone interference cancellation in DS CDMA systems, which is constructed by app lying feedforward neural networks based on backpropagation algorithm to the nonlinear decision feedback interference suppressor(FNDFIS). Secondly, we also calculate the optimum weights of the networks by using optimization method. The performances were compared between FNDFIS and DFIS, and FNDFIS acts much better than DFIS.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
1999年第1期29-33,共5页
Journal of Beijing University of Posts and Telecommunications
关键词
码分多址联接
神经网络
单频干扰
多址通信系统
CDMA
neural networks
tone interference
decision feedback
optimization calculation
