首页 | 本学科首页   官方微博 | 高级检索  
     


LNN Blind Multi-user Detection Algorithm for Multi-path-fading CDMA Channels
Authors:LI Yan-ping  WANG Hua-kui  MIAO Rui-qing
Affiliation:College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024 Shanxi, China
Abstract:A blind multi-user detection algorithm (BMUD) which is suitable for multi-path-fading Channels based on Lagrange neural network (LNN) is proposed. Based on the minimum output energy (MOE) criterion, the blind detection algorithm is formulated as a constrained optimization problem inherently and is then resolved efficiently using the neural network. Compared with the previous RLS(recursive least squares )-MOE blind detection algorithm or for multi-path channel, the BMUD based on LNN has better performances: lower computational complexity, faster convergence speed and capability in the multi-path-fading channel. The bit error rate (BER) and signal-to-interference-and-noise ratio(SINR) performances of the detection algorithm in multi-path channel are close to that in single path channel.
Keywords:BMUD  real-time tracing  multi-path-fading channel  LNN  Channels  CDMA  Detection Algorithm  single  path  ratio  bit error rate  faster  convergence  speed  capability  lower  computational complexity  better  performances  channel  recursive  least squares  constrained  optimization problem
本文献已被 维普 万方数据 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