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基于ICA后处理的匹配滤波盲多用户检测
引用本文:宛明高,陈林,李晓辉. 基于ICA后处理的匹配滤波盲多用户检测[J]. 安庆师范学院学报(自然科学版), 2009, 15(2): 25-28
作者姓名:宛明高  陈林  李晓辉
作者单位:安徽大学,电子科学与技术学院,安徽,合肥,230039;池州学院,机电工程系,安徽,池州,247000;池州学院,机电工程系,安徽,池州,247000;安徽大学,电子科学与技术学院,安徽,合肥,230039
摘    要:用传统检测器的输出来初始化独立分量分析(ICA)的迭代,利用多用户信号的已知信息,克服了ICA的不确定性问题,也充分利用了多用户信号的统计独立性。仿真实验结果证明这种多用户检测算法在高信噪比的情况下,误码性能改善随着信噪比的提高不断增加。

关 键 词:码分多址  独立分量分析  匹配滤波  盲多用户检测

Based on ICA Post Processing Matched Filter Blind Multi-user Detection
WAN Ming-Gao,CHEN Lin,LI Xiao-hui. Based on ICA Post Processing Matched Filter Blind Multi-user Detection[J]. Journal of Anqing Teachers College(Natural Science Edition), 2009, 15(2): 25-28
Authors:WAN Ming-Gao  CHEN Lin  LI Xiao-hui
Affiliation:1;2;1.School of Electronic Science and Technology;Anhui University;Hefei 230039;2.Department of Mechanical and Engineering;Chizhou College;Chizhou 247000;China
Abstract:In order to overcome the uncertainty of ICA problem and take full advantage of the statistical independence of the many users signal,the traditional detector output is used to initialize the iterative of ICA and the known information of multi—user is also used.The simulation results show that the bit error performance improvement of this multi—user detection algorithm in high—noise environment increases with the improved SNR.
Keywords:code division multiple access  independent component analysis  matched filter  blind multi-user detection  
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