基于径向基函数神经网络的CDMA多用户检测方法  

A Radial Basis Function Neural Network Method for Multiuser Detection in CDMA System

作　　者：李春光[1] 廖晓峰[2] 吴中福[2] 虞厥邦[1] 

机构地区：[1]电子科技大学光电子技术系 [2]重庆大学计算机学院

出　　处：《信号处理》2000年第3期206-210,205,共6页Journal of Signal Processing

摘　　要：径向基函数神经网络是一种三层前馈性神经网络，它具有较强函数逼近能力和分类能力，学习速度快等优点。本文根据径向基函数神经网络的这些优点提出了一种基于径向基函数网络的ＣＤＭＡ多用户检测方法（ＲＭＤ）。计算机模拟表明：我们所提的算法具有能克服多址干扰，抑制噪声干扰和对“远－近”问题不敏感等优点，这为研究ＣＤＭＡ多用户检测器开辟了一条新的途径．Radial basis function neural network is a type of three-layer feedforward network. It has many good properties, Such as powerful ability for function approximation, classification and learning rapidly. In this paper, a radial basis function neural network method for multiuser detection in Code-Division Multiple--Access (CDMA) system has been proposed Computer simulation illustrate that this method has many powerful abilities, such as suppressing multiple access interference and channel noise, near-far resistance. Our method open a new way for relizing multiuser detection in CDMA.

关 键 词：码分多址 径向基函数 神经网络 数字通信系统 

分 类 号：TN914.3[电子电信—通信与信息系统]