| 基于FSYAST子空间算法的盲自适应多用户检测 |
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| 引用本文： | 张俊林,曾孝平.基于FSYAST子空间算法的盲自适应多用户检测[J].北京理工大学学报,2010,30(2):206-209. |
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| 作者姓名： | 张俊林 曾孝平 |
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| 作者单位： | 重庆大学,通信工程学院,重庆,400044;重庆科技学院,重庆,401331;重庆大学,通信工程学院,重庆,400044 |
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| 基金项目： | 重庆市教委资助项目(KJ061409) |
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| 摘 要： | 为解决传统算法因引入特征值估计误差而导致检测性能下降的问题,在分析基于信号子空间跟踪的最小均方误差(MMSE)多用户检测器(MUD)的基础上,提出了一种改进的信号子空间盲线性MMSE多用户检测器,并应用FSYAST子空间跟踪算法进行信号子空间跟踪.仿真结果表明,提出的盲自适应多用户检测器性能接近于奇异值分解(SVD)子空间多用户检测器性能.
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| 关 键 词： | 最小均方误差 信号子空间 多用户检测 |
| 收稿时间： | 2009/4/11 0:00:00 |
Blind Adaptive Multiuser Detection Based on FSYAST Subspace Algorithm |
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| ZHANG Jun-lin and ZENG Xiao-ping.Blind Adaptive Multiuser Detection Based on FSYAST Subspace Algorithm[J].Journal of Beijing Institute of Technology(Natural Science Edition),2010,30(2):206-209. |
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| Authors: | ZHANG Jun-lin and ZENG Xiao-ping |
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| Institution: | 1.College of Communication Engineering;Chongqing University;Chongqing 400044;China;2.Chongqing University of Science and Technology;Chongqing 401331;China |
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| Abstract: | The minimum mean square error(MMSE) multiuser detectors based on signal-subspace are deeply investigated.Fast and stable yet another subspace tracker(FSYAST)and an improved MMSE multiuser detector is designed to solve the problems of detecting performance degradation caused by eigenvalue estimation errors.The simulation results showed that,the performance of the proposed MMSE detector approaches that of the singular-value decomposition-based subspace multiuser detectors. |
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| Keywords: | minimum mean square error signal-subspace multi-user detection (MUD) |
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