Artificial Neural Network Channel Estimation for OFDM System
This paper uses Artificial Neural Network (ANN) for channel estimation based on Levenberg-Marquardt training algorithm in OFDM systems over Rayleigh fading channels. This technique utilizes the learning property of neural network. By using this feature, there is no need of any matrix computation and proposed technique is less complex. This technique is useful to achieving the high data rate, transmission capability with high bandwidth, efficiency and its robustness to multipath delay. In OFDM system, the Channel estimation is an essential problem so the Pilot-aided channel estimation has been used; a good choice of the pilot pattern should match the channel behavior both in time and frequency domains.