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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 three-layer feedforward neural network, which has the advantages of strong function approximation ability and classification ability, learning speed and so on. Based on these advantages of radial basis function neural network, this paper proposes a multi-user detection method (RMD) based on radial basis function network. Computer simulation shows that the proposed algorithm can overcome multiple access interference, suppress noise interference and is insensitive to the “far-near” problem, which opens up a new way for the research of CDMA multi-user detector.