Fading Channel Estimation Based on Noisy Autoregressive Model and Kalman Filter

Document Type : Original Article


Electrical Engineering Department, Shahid Chamran University of Ahvaz


In this paper, a new method for estimation of flat fading is proposed. First, the channel is modeled by a noisy autoregressive (AR) model and then Zheng method is used to estimate the AR model parameters. After the model is determined, the channel is estimated using Kalman filter. Using simulations the performance of the proposed method is evaluated and compared with the other existing methods in terms of estimation accuracy and bit error rate (BER). Simulation results show that the proposed method outperforms the other existing methods.


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