Utilizing Minimum Mean-Square-Error Algorithm and Kalman Filter for Channel Estimation in OFDM System

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 期刊論文 > Item 987654321/50555

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题名:	Utilizing Minimum Mean-Square-Error Algorithm and Kalman Filter for Channel Estimation in OFDM System
作者:	詹益光;Jan, Yih-guang;李揚漢;Lee, Yang-han;Lin, Jheng-yao
贡献者:	淡江大學電機工程學系
关键词:	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
日期:	2008-09-01
上传时间:	2010-08-09 19:46:56 (UTC+8)
出版者:	淡江大學
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.
關聯:	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
显示于类别:	[電機工程學系暨研究所] 期刊論文

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