| 一种基于Lagrange神经网络的多用户检测器 |
| |
| 引用本文： | 唐普英,陈永倩,黄顺吉. 一种基于Lagrange神经网络的多用户检测器[J]. 电子科技大学学报(社会科学版), 2001, 0(1) |
| |
| 作者姓名： | 唐普英 陈永倩 黄顺吉 |
| |
| 作者单位： | 电子科技大学光电子技术系电子工程学院!成都 610054,电子科技大学光电子技术系电子工程学院!成都 610054,电子科技大学光电子技术系电子工程学院!成都 610054 |
| |
| 摘 要： | 提出并讨论了一种基于Lagrange神经网络的多用户检测器,利用神经网络能有效地求解优化问题;推导了Lagrange神经网络多用户检测器(LNN-MUD)。理论分析和计算结果表明：在误比特性能和抗干扰性能上,该检测器均优于传统检测器和解相关检测器;在抗“远近”干扰能力方面,该检测器优于传统检测器而弱于解相关检测器,且易于实时应用和VLSI实现。
|
| 关 键 词： | 码分多址 多用户检测 神经网络 多址干扰 远近干扰 |
A Multiuser Detector Based on Lagrange Neural Network |
| |
| Tang Puying Chen YongqianHuang Shunji. A Multiuser Detector Based on Lagrange Neural Network[J]. Journal of University of Electronic Science and Technology of China(Social Sciences Edition), 2001, 0(1) |
| |
| Authors: | Tang Puying Chen YongqianHuang Shunji |
| |
| Abstract: | According to the optimization theory and the neural network (NN) theory, a multiuser detector (MUD) is proposed, which takes the optimum MUD problem as combinatorial optimum problem. Using the neural network which has the ability of fast optimization computing, the Lagrange neural network (LNN) MUD is derived. Theoretical analysis and numerical results show that in aspect of bit-error rate and multiple access interfernce, the LNN MUD is better than the conventional and decorrelated MUD in aspect of "near-far" resistance, the LNN MUD is better than the conventional MUD and worse than the decorrelated detector and the LNN MUD can be easily implemented by VLSI technology. |
| |
| Keywords: | code-division multiple-access multiuser fetecor lagrange neural network multiple access interference near-gar tesistance |
| 本文献已被 CNKI 等数据库收录！ |
