Radial Basis Function Neural Networks for Channel Estimation in MIMO-OFDM Systems

2013 ◽  
Vol 38 (8) ◽  
pp. 2173-2178 ◽  
Author(s):  
M. Nuri Seyman ◽  
Necmi Taspinar
2012 ◽  
Vol 263-266 ◽  
pp. 1142-1149
Author(s):  
Xiao Wei He ◽  
Rui Zhe Yang ◽  
Jie Zhang ◽  
Yan Hua Zhang

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.


2021 ◽  
Vol 163 ◽  
pp. 2137-2152
Author(s):  
Despina Karamichailidou ◽  
Vasiliki Kaloutsa ◽  
Alex Alexandridis

2015 ◽  
Vol 281 ◽  
pp. 173-183 ◽  
Author(s):  
Ningbo Zhao ◽  
Xueyou Wen ◽  
Jialong Yang ◽  
Shuying Li ◽  
Zhitao Wang

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