An OFDM Channel Estimation Method With Radial Basis Function Neural Network

被引：2
|
作者：
He, Xiaowei [1 ]
Yang, Ruizhe [1 ]
Zhang, Jie [1 ]
Zhang, Yanhua [1 ]
机构：
[1] Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
来源：
INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY, PTS 1-4 | 2013年 / 263-266卷
关键词：
OFDM; channel estimation; RBFNN; frequency selective fading;
D O I：
10.4028/www.scientific.net/AMM.263-266.1142
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
For OFDM system, we proposed a channel estimation method based on radial basis function neural network (RBFNN). The neural network with Gaussian basis function is established according to the pilot pattern, where the network parameters are obtained by training channel response of pilot subcarriers as objective values for input samples. With the established network, channel coefficients of non-pilot subcarriers can be predicted. The simulation results indicate that the proposed algorithm performs well in OFDM systems under Rayleigh multipath fading channel.
引用
收藏
页码：1142 / 1149
页数：8
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