| 一种组合神经网络非线性判决反馈均衡器 |
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| 引用本文： | 王军锋,张斌,宋国乡.一种组合神经网络非线性判决反馈均衡器[J].计算机科学,2003,30(7):152-153. |
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| 作者姓名： | 王军锋 张斌 宋国乡 |
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| 作者单位： | 西安电子科技大学数学系,西安,710071 |
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| 基金项目： | 陕西省自然科学基金(2000SL02) |
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| 摘 要： | 1 引言数字通信系统的典型模型如图1所示,发送序列s(n)经信道传输后因发生失真及噪声v(n)的影响而成为畸变信号x(n),为此需用均衡器对其进行均衡以恢复发送序列。目前,自适应均衡已成为数字通信中一种非常重要的技术,自适应均衡器的构成也是多种多样,其中最简单的是线性横向均衡器(LTE)和判决反馈均衡器(DFE),它们都比较适用于线性信道。如果信道呈现非线性特性,两者的性能特别是LTE的均衡能力会大大下降,而利用径向基函数网络(RBFN)等构
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| 关 键 词： | 数字通信系统 信道 组合神经网络 非线性判决反馈均衡器 数字信号 |
A New Nonlinear Adaptive Equalizer Based on Combined Neural Networks |
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| WANG Jun-Feng ZHANG Bin SONG Guo-Xiang.A New Nonlinear Adaptive Equalizer Based on Combined Neural Networks[J].Computer Science,2003,30(7):152-153. |
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| Authors: | WANG Jun-Feng ZHANG Bin SONG Guo-Xiang |
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| Abstract: | A new nonlinear decision feedback adaptive equalizer based on Adaline neural network and radial-basis-function neural network is presented. Its structure and algorithm are also investigated. For a typical linear and nonlinear channel models, computer simulation shows that its convergence speed is faster and its stable mean square error is less. |
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| Keywords: | Combined neural network Radial basis function Decision feedback Nonlinear equalizer |
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