OFDM channel estimation by singular value decomposition

被引：963

作者：

Edfors, O ^{[1
]}

Sandell, M

van de Beek, JJ

Wilson, SK

Borjesson, PO

机构：

[1] Lund Univ, Dept Appl Elect, S-22100 Lund, Sweden

[2] AT&T Bell Labs, Lucent Technol, Swindon SN5 6PP, Wilts, England

[3] Lulea Univ Technol, Div Signal Proc, S-97187 Lulea, Sweden

来源：

IEEE TRANSACTIONS ON COMMUNICATIONS | 1998年 / 46卷 / 07期

关键词：

channel estimation; OFDM;

D O I：

10.1109/26.701321

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper we present and analyze low-rank channel estimators for orthogonal frequency-division multiplexing (OFDM) systems using the frequency correlation of the channel. Low-rank approximations based on the discrete Fourier transform (DFT) have been proposed, but these suffer from poor performance when the channel is not sample spaced.We apply the theory of optimal rank-reduction to linear minimum mean-squared error (LMMSE) estimators and show that these estimators, when using a fu;ed design, are robust to changes in channel correlation and signal-to-noise ratio (SNR). The performance is presented in terms of uncoded symbol error rate (SER) for a system using 16-quadrature amplitude modulation (QAM).

引用

页码：931 / 939

页数：9

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