| 基于复数径向基函数神经网络的自适应均衡器 |
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| 引用本文： | 徐金标,刘丰,王育民.基于复数径向基函数神经网络的自适应均衡器[J].电子学报,1998,26(1):59-64. |
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| 作者姓名： | 徐金标 刘丰 王育民 |
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| 作者单位： | 西安电子科技大学通信工程学院105教研室!西安，710071，西安电子科技大学通信工程学院105教研室!西安，710071，西安电子科技大学通信工程学院105教研室!西安，710071 |
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| 摘 要： | 本文对基于复数径向基函数网络（ＣＲＢＦＮ）的自适应均衡器作了研究；提出了两种新的复数径向基函数网络结构的均衡器；正交ＣＲＢＦＮ（ＯＣＲＢＦＮ）均衡器与非对称ＣＲＢＦＮ（ＡＣＲＢＦＮ）均衡器；并在此了提出了这两种自适应均衡器的训练算法，模拟结果表明对于线性信道或非线性信道定这两种基于ＣＲＢＦＮ均衡器的收敛性能比文献「２，５」中的元首衡器优越，具有一定的实用价值。
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| 关 键 词： | 均衡器 信通均衡 CRBFN |
基于复数径向基函数神经网络的自适应均衡器 |
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| Xu Jinbiao,Liu Feng,Wang Yumin.基于复数径向基函数神经网络的自适应均衡器[J].Acta Electronica Sinica,1998,26(1):59-64. |
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| Authors: | Xu Jinbiao Liu Feng Wang Yumin |
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| Abstract: | In this pape,the equalizrs based on complex radial basis function networks(CRBFN)were invcestigated and two new adaptive equalizers based on CRBFN(which are orthogonal CRBFN equalizer and asymmetric CRBFN equalizer) were also proposed which are different from those in Refs. 2,5]. Based on both the new CRBFNs, the training algorithm that adapts all be parameters of the network was presented. Computer simulation results show both the new CRBFN equalizers have better performanve than those in Refs. 2,5] when the channel is linear or nonlinear. |
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| Keywords: | Complex radial basis functions networks Equalizer |
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