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  • Artificial neural network based sparse channel estimation for OFDM systems 

    Authors:Tahir, Abdur Rehman Bin
    Publisher and Date:(Kadir Has University, 2017)
    In order to increase the communication quality in frequency selective fading channel environment, orthogonal frequency division multiplexing (OFDM) systems are used to combat inter-symbol-interference (ISI). In this thesis, a channel estimation scheme for the OFDM system in the presence of sparse multipath channel is studied. The channel estimation is done by using the artificial neural networks (ANNs) with Resilient Backpropagation training algorithm. This technique uses the learning capability ...