| 基于ANFIS的非线性信道的辨识 |
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| 引用本文： | 王晓里,曲强.基于ANFIS的非线性信道的辨识[J].计算机仿真,2008,25(5):129-132. |
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| 作者姓名： | 王晓里 曲强 |
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| 作者单位： | 1. 鞍山市产品质量监督检验所,辽宁,鞍山,114006
2. 辽宁科技大学电子与信息学院,辽宁,鞍山,114044 |
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| 摘 要： | 当前对高速通信的需求导致对信道资源的利用已经超出了可以采用线性模型建模的范围,所以必须采用适当的非线性模型进行描述,为了实现对高速通信中非线性信道的辨识,提出了采用自适应神经模糊推理系统(ANFIS)进行信道辨识的方法,并对ANFIS网络的结论参数采用最小二乘法进行辨识,对前提参数采用误差反传的方法进行学习,最后,运用MAT-LAB实现了对非线性信道进行辨识及均衡的仿真,并将仿真结果与BP网辨识结果进行比较,说明ANFIS网络能很好地逼近非线性信道的传递函数,并在收敛速度及辨识精度方面优于BP网络.
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| 关 键 词： | 自适应神经模糊推理系统 非线性 反向传播网络 信道辨识 |
| 文章编号： | 1006-9348(2008)05-0129-03 |
| 修稿时间： | 2007年5月9日 |
Identification of Nonlinear Channel Based on ANFIS |
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| WANG Xiao-li,Qu Qiang.Identification of Nonlinear Channel Based on ANFIS[J].Computer Simulation,2008,25(5):129-132. |
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| Authors: | WANG Xiao-li Qu Qiang |
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| Affiliation: | WANG Xiao-li1,QU Qiang2 (1. Anshan Institute of Production Quality Inspecting & Supervising,Anshan Liaoning 114006,China,2. School of Electronics , Information Engineering,Liaoning University of Science & Technology,Anshan Liaoning 114044,China) |
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| Abstract: | The demand of high-speed communication leads to that the application of channel resource exceeds the range of linear modeling. As a result, nonlinear model should be taken into account. According to the property of the channel in high-speed communication, the paper presents an adaptive neuron-fuzzy inference system(ANFIS)to identify the nonlinear channel. The result parameter of ANFIS is identified by least square and premise parameter is identified by Back-propagation. Based on the structure and principle ... |
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| Keywords: | ANFIS Nonlinear Back-propagation network Channel identification |
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