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CLC number: TN911.23; TN929.5

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

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

http://doi.org/10.1631/jzus.2006.A0507


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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author="Liang Yong-ming, Luo Han-wen, Huang Jian-guo",
journal="Journal of Zhejiang University Science A",
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pages="507-515",
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doi="10.1631/jzus.2006.A0507"
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%T RLS channel estimation with adaptive forgetting factor in space-time coded MIMO-OFDM systems
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%A Huang Jian-guo
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A0507

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T1 - RLS channel estimation with adaptive forgetting factor in space-time coded MIMO-OFDM systems
A1 - Liang Yong-ming
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A1 - Huang Jian-guo
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EP - 515
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.A0507


Abstract: 
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.

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

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