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CLC number: TN911.23; TN929.5

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Received: 2005-04-16

Revision Accepted: 2005-06-16

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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.4 P.507-515


RLS channel estimation with adaptive forgetting factor in space-time coded MIMO-OFDM systems

Author(s):  Liang Yong-ming, Luo Han-wen, Huang Jian-guo

Affiliation(s):  Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; more

Corresponding email(s):   liangyongming@sjtu.edu.cn, luohanwen@hotmail.com, jghuang@nwpu.edu.cn

Key Words:  MIMO-OFDM, Channel estimation, RLS algorithm, Adaptive forgetting factor

Liang Yong-ming, Luo Han-wen, Huang Jian-guo. RLS channel estimation with adaptive forgetting factor in space-time coded MIMO-OFDM systems[J]. Journal of Zhejiang University Science A, 2006, 7(4): 507-515.

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%A Liang Yong-ming
%A Luo Han-wen
%A Huang Jian-guo
%J Journal of Zhejiang University SCIENCE A
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%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A0507

T1 - RLS channel estimation with adaptive forgetting factor in space-time coded MIMO-OFDM systems
A1 - Liang Yong-ming
A1 - Luo Han-wen
A1 - Huang Jian-guo
J0 - Journal of Zhejiang University Science A
VL - 7
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SP - 507
EP - 515
%@ 1673-565X
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PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.A0507

Considering that channel estimation plays a crucial role in coherent detection, this paper addresses a method of Recursive-least-squares (RLS) channel estimation with adaptive forgetting factor in wireless space-time coded multiple-input and multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. Because there are three different forgetting factor scenarios including adaptive, two-step and conventional ones applied to RLS channel estimation, this paper describes the principle of RLS channel estimation and analyzes the impact of different forgetting factor scenarios on the performances of RLS channel estimation. Simulation results proved that the RLS algorithm with adaptive forgetting factor (RLS-A) outperformed that with two-step forgetting factor (RLS-T) or with conventional forgetting factor (RLS-C) in both estimation accuracy and robustness over the multiple-input multiple-output (MIMO) channel, i.e., a wide-sense stationary uncorrelated scattering (WSSUS) and frequency-selective slowly fading channel. Hence, we can employ the RLS-A method by adjusting forgetting factor adaptively to track and estimate channel state parameters successfully in space-time coded MIMO-OFDM systems.

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