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

被引：0

作者：

Jan, Yih-Guang ^{[1
]}

Lee, Yang-Han ^{[1
]}

Lin, Jheng-Yao ^{[1
]}

Tseng, Hsien-Wei ^{[1
]}

Chuang, Ming-Hsueh ^{[1
]}

机构：

[1] Tamkang Univ, Dept Elect Engn, Tamsui 251, Taiwan

来源：

JOURNAL OF APPLIED SCIENCE AND ENGINEERING | 2008年 / 11卷 / 03期

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;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

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.

引用

页码：287 / 296

页数：10

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