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一种新的自适应神经网络均衡器
引用本文:何桂清,虞厥邦,庞晓忠. 一种新的自适应神经网络均衡器[J]. 电子科技大学学报(社会科学版), 1993, 0(3)
作者姓名:何桂清  虞厥邦  庞晓忠
作者单位:电子科技大学无线电技术系,电子科技大学光电子技术系,电子科技大学光电子技术系 成都 610054
摘    要:根据克服数字通信中码间干扰(ISI)的最佳均衡解一般表达式,提出了一种新的自适应神经网络均衡器结构,然后导出了基于该结构的一种自适应算法和相应的学习规则,最后对这种自适应神经网络均衡器进行了计算机模拟。研究结果表明:文中提出的神经网络均衡器非常有效,比传统线性均衡器和Gibson等人提出的多层感知均衡器(MLPE)性能更优越,更具实用性。

关 键 词:数字通信  码间干扰  自适应均衡  神经网络  学习规则

A NOVEL ADAPTIVE NEURAL NETWORK EQUALIZER
He Guiqing Yu Juebang Pang Xiaozhong. A NOVEL ADAPTIVE NEURAL NETWORK EQUALIZER[J]. Journal of University of Electronic Science and Technology of China(Social Sciences Edition), 1993, 0(3)
Authors:He Guiqing Yu Juebang Pang Xiaozhong
Abstract:This paper suggests a novel adaptive neural network channel equalizer to overcome the inter-symbol interference (ISI) existing in various digital communication systems based on the general optimum equalization solutions, derives its adaptive algorithms and learning rules, and investigates the performance of the novel neural network equalizer applied to some communication systems by means of computer simulations. It is concluded that the novel neural network equalizer is very effective in implementing the optimum channel equalization and it has superior performances over both the traditional linear equalizers and the multilayer perceptron equalizers (MLPE) suggested by Gibson, etc.
Keywords:digital communication  intersymbol interferences  adaptive equalizations  neural networks  learning rules
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