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一种基于优化神经网络的最佳多用户检测器
引用本文:唐普英,杨春华,黄顺吉. 一种基于优化神经网络的最佳多用户检测器[J]. 电子科技大学学报(社会科学版), 1999, 0(2)
作者姓名:唐普英  杨春华  黄顺吉
作者单位:成都电子科技大学光电子技术系!610054
摘    要:基于优化理论和神经网络理论提出了一种优化神经网络最佳多用户检测器,将DS-CDMA通信中的多用户信号检测问题看作一种组合优化问题,利用神经网络能有效地求解优化问题的优势:推导了一种优化神经网络最佳多用户检测器,理论分析和计算结果表明:1)在误比特性能和抗多址干扰性能上这种检测器均优于传统检测器和解相关检测器;2)在抗"远近"干扰能力方面,这种检测器优于传统检测器而弱于解相关检测器;3)易于实时应用和VLSI实现。

关 键 词:码分多址  多用户检测  神经网络  多址干扰  远近干扰

An Optimum Multiuser Detector Based on Optimization Neural Network
Tang Puying, yang Chunhua, Huang Shunji. An Optimum Multiuser Detector Based on Optimization Neural Network[J]. Journal of University of Electronic Science and Technology of China(Social Sciences Edition), 1999, 0(2)
Authors:Tang Puying   yang Chunhua   Huang Shunji
Abstract:According to the optimization theory and the neural network (NN) theory,an optimum multiuser detector (MUD) is proposed .The optimum MUD problem is taken as the combinatorial optimum problem .Using the neural network which has the ability of fast optimization computing,the optimization neural network MUD is derived. Theoretical analysis and numerical results show that in the aspect of biterror rate and multiple-access-interference, the optimum MUD is better than the conventional and decorrelated MUD, in aspect of "near-far" resistance, the optimum MUD is better than the conventional MUD, and is worse than the decorrelated detector, and the optimum MUD can be easily implemented by VLSI technology.
Keywords:code-division multiple-Access  multiuser detector  neural network  multipleaccess interference  near-far resistance
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