| 基于改进的FNN的无线信道模型研究 |
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| 引用本文： | 吕琳,张建军.基于改进的FNN的无线信道模型研究[J].武汉理工大学学报(信息与管理工程版),2007,29(10):39-42. |
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| 作者姓名： | 吕琳 张建军 |
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| 作者单位： | 武汉理工大学,信息工程学院,湖北,武汉,430070 |
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| 摘 要： | 根据多层前馈类神经网络(FNN)的机制,提出了一种基于多层前馈神经网络和改进的BP算法的无线通信信道的模型和仿真方法。仿真结果表明,FNN模型可以很好地追踪无线信道不稳定的时变特性,反映了无线通信信道中用多层FNN系统建模的优越性。
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| 关 键 词： | 无线信道 信道建模 前馈神经网络 BP算法 |
| 文章编号： | 1007-144X（2007）10-0039-04 |
| 修稿时间： | 2007-04-04 |
Research on Improved Multilayer FNN -based Wireless Channel Model |
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| LV Lin,ZHANG Jianjun.Research on Improved Multilayer FNN -based Wireless Channel Model[J].Journal of Wuhan University of Technology(Information & Management Engineering),2007,29(10):39-42. |
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| Authors: | LV Lin ZHANG Jianjun |
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| Affiliation: | School of Information Engineering, WUT, Wuhan 430070, China. |
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| Abstract: | According to the mechanism of multilayer feed-forward neural network(FNN),a wireless communication channels model based on multilayer FNN with improved back propagation(BP) algorithm is put forward.The simulation results show that the FNN model can track the time-varying characteristic of unstable wireless channels very well.When applied to practical wireless communication channels,several unique merits of this method are also demonstrated. |
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| Keywords: | wireless channel channel modeling feed-forward neural network BP algorithm |
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