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CLC number: TN914

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Received: 2007-08-21

Revision Accepted: 2007-12-07

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Journal of Zhejiang University SCIENCE A 2008 Vol.9 No.4 P.464~469


Time-domain training sequences design for MIMO OFDM channel estimation

Author(s):  Zhen LU, Jian-hua GE

Affiliation(s):  Department of Electronic Engineering, Shanghai Jiao Tong Universiry, Shanghai 200240, China; more

Corresponding email(s):   luzhen_sjtu@yahoo.com.cn

Key Words:  MIMO, OFDM, Channel estimation, Time-domain training sequence

Zhen LU, Jian-hua GE. Time-domain training sequences design for MIMO OFDM channel estimation[J]. Journal of Zhejiang University Science A, 2008, 9(4): 464~469.

@article{title="Time-domain training sequences design for MIMO OFDM channel estimation",
author="Zhen LU, Jian-hua GE",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Time-domain training sequences design for MIMO OFDM channel estimation
%A Zhen LU
%A Jian-hua GE
%J Journal of Zhejiang University SCIENCE A
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%N 4
%P 464~469
%@ 1673-565X
%D 2008
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A071444

T1 - Time-domain training sequences design for MIMO OFDM channel estimation
A1 - Zhen LU
A1 - Jian-hua GE
J0 - Journal of Zhejiang University Science A
VL - 9
IS - 4
SP - 464
EP - 469
%@ 1673-565X
Y1 - 2008
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A071444

This paper describes a Least Squares (LS) channel estimation scheme for MIMO OFDM systems based on time-domain training sequence. We first compute the minimum mean square error (MSE) of the LS channel estimation, and then derive the optimal criteria of the training sequence with respect to the minimum MSE. It is shown that optimal time-domain training sequence should satisfy two criteria. First, the autocorrelation of the sequence transmitted from the same antenna is an impulse function in a region longer than the channel maximum delay. Second, the cross-correlation between sequences transmitted from different antennas is zero in this region. Simulation results show that the estimator using optimal time-domain training sequences has better performance than that using optimal frequency training sequence at low signal-to-noise ratio (SNR). To reduce the training overhead, a suboptimal training sequence is also proposed. Comparing with optimal training sequence, it has low computation complexity and high transmission efficiency at the expense of little performance degradation.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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