Yih-Guang Jan This email address is being protected from spambots. You need JavaScript enabled to view it.1, Yang-Han Lee1, Jheng-Yao Lin1, Hsien-Wei Tseng1 and Ming-Hsueh Chuang1

1Department of Electrical Engineering, Tamkang University, Tamsui, Taiwan 251, R.O.C


Received: November 28, 2004
Accepted: September 29, 2005
Publication Date: September 1, 2008

Download Citation: ||https://doi.org/10.6180/jase.2008.11.3.07  


In this paper, the channel response of the wireless Orthogonal Frequency-Division Multiplexing system has been modeled and estimated by utilizing the minimum mean-square-error (MMSE) algorithm and Kalman filtering algorithm. Two channel models have been developed for the system considered, namely, an additive white Gaussian noise channel and a Rayleigh slow-fading channel with white Gaussian noise added. With the models developed several examples have been simulated to examine the resulting system symbol error rates vs. signal to noise ratios and fading factors to illustrate the effectiveness of the developed algorithm.

Keywords: Orthogonal Frequency-Division Multiplexing (OFDM), Minimum Mean-Square-Error (MMSE), Kalman Filter, Signal to Noise Ratio (SNR), BPSK, QPSK, 16-QAM, 64-QAM, Rayleigh Fading


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