An OFDM Channel Estimation Method with Radial Basis Function Neural Network

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 263-266)
• Pages: 1142-1149
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.263-266.1142
• Online since: December 2012
• Authors: Xiao Wei He, Rui Zhe Yang, Jie Zhang, Yan Hua Zhang
• Keywords: Channel Estimation, Frequency Selective Fading, Orthogonal Frequency Division Multiplexing (OFDM), RBFNN

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