| 基于混沌神经网络的多用户检测器 |
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| 引用本文： | 潘亚莉,曾孝平.基于混沌神经网络的多用户检测器[J].太赫兹科学与电子信息学报,2006,4(4):250-253. |
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| 作者姓名： | 潘亚莉 曾孝平 |
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| 作者单位： | 1. 重庆大学,通信工程学院,重庆,400044;重庆通信学院,无线通信装备教研室,重庆,400035
2. 重庆大学,通信工程学院,重庆,400044 |
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| 摘 要： | 提出一种基于增广Lagrange乘子——暂态混沌神经网络的码分多址（Code Division Multiple Access，CDMA）多用户检测新技术。该技术将混沌模拟退火算法与增广Lagrange乘子相结合，具有良好的逃逸局部最小点的能力和较快的收敛速度，同时能有效克服惩罚函数的缺点。仿真实验结果表明，基于增广Lagrange乘子——暂态混沌神经网络的多用户检测器，其误码率性能优于Hopfield神经网络及未改进的暂态混沌神经网络等多用户检测器。
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| 关 键 词： | 多用户检测 混沌 神经网络 Lagrange乘子 |
| 文章编号： | 1672-2892(2006)04-0250-04 |
| 收稿时间： | 2006-04-07 |
| 修稿时间： | 2006-05-08 |
Multiuser Detector Using Augmented Lagrange Multiplier-Transiently Chaotic Neural Networks |
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| PAN Ya-li,ZENG Xiao-ping.Multiuser Detector Using Augmented Lagrange Multiplier-Transiently Chaotic Neural Networks[J].Journal of Terahertz Science and Electronic Information Technology,2006,4(4):250-253. |
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| Authors: | PAN Ya-li ZENG Xiao-ping |
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| Affiliation: | 1. College of Communication Engineering, Chongqing University, Chongqing 400044, China; 2. Department of Communication and Information Engineering, Chongqing Communication Institute, Chongqing 400035, China; |
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| Abstract: | In this paper,we propose a novel neural network based Multiuser Detector for Direct-Sequence Code Division Multiple Access system. The proposed detector incorporates augmented Lagrange multipliers into transiently chaotic neural.The proposed detector eliminates the need of the penalty term and guarantees solution validity. The simulation results show that the proposed network outperforms the Hopfield Net as well as the Transiently Chaotic Neural Networks in (Bit Error Rate,BER) performance. |
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| Keywords: | multiuser detection chaos neural network Lagrange multiplier |
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