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平坦瑞利环境下多用户检测的复神经网络方法
引用本文:张红雨,廖晓峰,虞厥邦. 平坦瑞利环境下多用户检测的复神经网络方法[J]. 系统工程与电子技术, 2002, 24(7): 106-108
作者姓名:张红雨  廖晓峰  虞厥邦
作者单位:电子科技大学光电子技术系,四川,成都,610054
摘    要:根据平坦瑞利环境下码分多址 (CDMA)系统的复信道衰减特点 ,提出了一种多用户检测的复神经网络方法 ,从理论上证明了该算法的稳定性。理论分析和计算机仿真表明 :该算法具有较强的鲁棒性 ;能有效地抑制噪声干扰 ,克服远近效应 ;对复信道相位和相关矩阵具有一定的自适应能力 ;在平坦瑞利环境衰减下具有较好的误码特性。

关 键 词:码分多址  瑞利衰落信道  复神经网络  多用户检测
文章编号:1001-506X(2002)07-0106-03
修稿时间:2001-06-19

Performance of Multiuser Detection for CDMA System Using Complex Neural Networks in Flat Rayleigh Fading Environment
ZHANG Hong-yu,LIAO Xiao-feng,YU Jue-bang. Performance of Multiuser Detection for CDMA System Using Complex Neural Networks in Flat Rayleigh Fading Environment[J]. System Engineering and Electronics, 2002, 24(7): 106-108
Authors:ZHANG Hong-yu  LIAO Xiao-feng  YU Jue-bang
Abstract:A complex neural network approach for implementing optimal multiuser detection in CDMA system is theoretically proposed. Stability of the algorithm is proven. Computer simulation by Monte-Carlo method demonstrates that this algorithm has great advantages of better tolerance to coding error and "far-near" effect over traditional methods and has an adaptive ability to complex relative matrix and phase variation in complex channel. These performances of the approach in flat Rayleigh fading environment are also satisfactory.
Keywords:CDMA  Rayleigh fading channel  Complex neural networks  Multiuser detection
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