- 期刊
Utilizing Minimum Mean-Square-Error Algorithm and Kalman Filter for Channel Estimation in OFDM System
並列摘要
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.