Channel estimation for OFDM systems based on adaptive radial basis function networks

In this paper, we investigate new radial basis function (RBF) networks for channel estimation for pilot symbol aided orthogonal frequency division multiplexing (OFDM) systems. One-dimensional RBF networks and RBF network interpolation channel estimators are proposed. The latter can reduce the redundancy and guarantee a high transmission rate. Computer simulation demonstrates that our proposed channel estimators exhibit an improved performance compared to the conventional linear channel estimation methods in fast fading channels. They have robust performance when the normalized fading rate ranges from 0.001 to 0.2.