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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/50555


    Title: Utilizing Minimum Mean-Square-Error Algorithm and Kalman Filter for Channel Estimation in OFDM System
    Authors: 詹益光;Jan, Yih-guang;李揚漢;Lee, Yang-han;Lin, Jheng-yao
    Contributors: 淡江大學電機工程學系
    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
    Date: 2008-09-01
    Issue Date: 2010-08-09 19:46:56 (UTC+8)
    Publisher: 淡江大學
    Abstract: 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.
    Relation: 淡江理工學刊 = Tamkang Journal of Science and Engineering 11(3), pp.287-296
    DOI: 10.6180/jase.2008.11.3.07
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Journal Article

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