| 基于独立分量分析算法的DS-CDMA盲多用户检测 |
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| 引用本文： | 朱冰莲,李金磊. 基于独立分量分析算法的DS-CDMA盲多用户检测[J]. 重庆理工大学学报(自然科学版), 2009, 23(10): 61-64 |
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| 作者姓名： | 朱冰莲 李金磊 |
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| 作者单位： | 重庆大学通信工程学院,重庆400044 |
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| 摘 要： | 由非高斯性测度入手，在定义的代价函数中加入包含了期望用户扩频码这个先验信息的修正项，对代价函数进行梯度优化，导出一种基于独立分量分析的多用户检测器．仿真结果表明，该算法在高斯白噪声信道中具有良好的性能．
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| 关 键 词： | 独立分量分析 多用户检测 盲源分离 码分多址 |
DS-CDMA Blind Multi-user Detection Based on Independent Component Analysis Algorithm |
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| ZHU Bing-lian,LI Jin-lei. DS-CDMA Blind Multi-user Detection Based on Independent Component Analysis Algorithm[J]. Journal of Chongqing University of Technology(Natural Science), 2009, 23(10): 61-64 |
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| Authors: | ZHU Bing-lian LI Jin-lei |
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| Affiliation: | ZHU Bing-lian,LI Jin-lei (College of Communication Engineering,Chongqing University,Chongqing 400044,China.) |
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| Abstract: | Independent Component Analysis(ICA) algorithm is a kind of blind source separation(BSS) that has been drawing so much attention recent years.But since it does not fully use the prior information of the signal,it results in the unpredictable in order,which also make the algorithm can hardly be applied widely.In this paper,based on Non-Gaussian measurement,a regularized term is added to cost-function which includes the spreading code of the interest user,then the cost-function is optimize in gradient,a new mu... |
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| Keywords: | Independent Component Analysis(ICA) multi-user detection Blind Source Separation(BSS) CDMA |
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