首页 | 本学科首页   官方微博 | 高级检索  
     

多层线性神经网络自适应滤波器性能仿真
引用本文:陆斌,李乐民,李正茂. 多层线性神经网络自适应滤波器性能仿真[J]. 电子科技大学学报(社会科学版), 1996, 0(Z3)
作者姓名:陆斌  李乐民  李正茂
作者单位:电子科技大学抗干扰通信技术国防重点实验室
摘    要:介绍了一种基于多层线性神经网络的自适应滤波器。仿真结果表明,将这种基于BP算法训练的滤波器应用于扩频接收机的干扰抑制,比常规的采用LMS算法训练的滤波器具有更优的性能。文中还讨论了滤波器层数对于BP算法收敛过程的影响。

关 键 词:神经网络;自适应滤波;扩频通信

Performance Simulation of Adaptive Filters Based on Multi-layer Linear Neural Networks
Lu Bin, Li Lemin, Li Zhengmao Li Zhengmao. Performance Simulation of Adaptive Filters Based on Multi-layer Linear Neural Networks[J]. Journal of University of Electronic Science and Technology of China(Social Sciences Edition), 1996, 0(Z3)
Authors:Lu Bin   Li Lemin   Li Zhengmao Li Zhengmao
Affiliation:National Communication Lab UEST of China Chengdu 610064
Abstract:An allptive filter on the layer neund network is Ptdeed in this.Simulation results that this filter trained with back Pron has better perfonce than theC adaptive filter teaing with the LMS algorithm When it is applied tO intetheence suPPt in a PNsprat spetrum receiver. The influence of the number of on BP convergemp behaviour is alsothe in ac Paper.
Keywords:neural network  adaptive filter  spread spectrum communication  
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号