| 基于Lagrange优化神经网络的盲多用户检测 |
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| 引用本文： | 王鸿斌,张立毅,王华奎,李福平.基于Lagrange优化神经网络的盲多用户检测[J].兰州理工大学学报,2007,33(5):89-92. |
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| 作者姓名： | 王鸿斌 张立毅 王华奎 李福平 |
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| 作者单位： | 1. 忻州师范学院,计算机系,山西,忻州,034000;太原理工大学,信息工程学院,山西,太原,030024
2. 太原理工大学,信息工程学院,山西,太原,030024 |
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| 基金项目： | 山西省自然科学基金
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高校高科技开发项目 |
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| 摘 要： | Lagrange优化神经网络克服传统的基于罚函数的神经网络的缺陷,直接对不等式约束进行处理,降低网络规模和复杂度,是一种新型的优化神经网络.基于这种Lagrang优化神经网络,提出一种盲多用户检测算法,并通过仿真表明,该算法在误码率性能方面有所改善,收敛速度也明显提高.
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| 关 键 词： | Lagrange神经网络 最优解 收敛 罚函数 多用户检测 |
| 文章编号： | 1673-5196（2007）05-0089-04 |
| 修稿时间： | 2007-04-18 |
Blind multi-user detection based on Lagrange optimization neural network |
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| WANG Hong-bin,ZHANG Li-yi,WANG Hua-kui,LI Fu-ping.Blind multi-user detection based on Lagrange optimization neural network[J].Journal of Lanzhou University of Technology,2007,33(5):89-92. |
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| Authors: | WANG Hong-bin ZHANG Li-yi WANG Hua-kui LI Fu-ping |
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| Institution: | 1. Department of Computer Science, Xinzhou Teachers University, Xinzhou 034000, China; 2. College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, China |
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| Abstract: | The kind principle of Lagrange optimization neural network was expounded.Such network could overcome the traditional defect of the neural network with punish function,deal with inequality restraint directly,and reduce network size and complexity,being a kind of new optimization neural network.Based on the Lagrange neural network,a kind of blind multi-user detection algorithm was proposed.It was shown by the computer simulation that,this algorithm could improve the error code rate and obviously enhances the convergence rate as well. |
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| Keywords: | Lagrange neural network optimum solution convergence punish function multi-user detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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