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Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2006, Vol. 7 Issue (4): 507-515    DOI: 10.1631/jzus.2006.A0507
Computer & Information Science     
RLS channel estimation with adaptive forgetting factor in space-time coded MIMO-OFDM systems
Liang Yong-ming, Luo Han-wen, Huang Jian-guo
Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; College of Marine Engineering, Northwestern Polytechnical University, Xi’an 710072, China
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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.

Key wordsMIMO-OFDM      Channel estimation      RLS algorithm      Adaptive forgetting factor     
Received: 16 April 2005     
CLC:  TN911.23  
  TN929.5  
Cite this article:

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

URL:

http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2006.A0507     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2006/V7/I4/507

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[2] Hou Xiao-yun, Zheng Bao-yu, Xu You-yun, Song Wen-tao. An improved channel estimation with multipath search for MIMO-OFDM systems[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2006, 7(2 ): 7-.
[3] SONG Bo-wei, GUAN Yun-feng, ZHANG Wen-jun. An efficient training sequences strategy for channel estimation in OFDM systems with transmit diversity[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2005, 6( 6): 23-.
[4] SHAN Shu-wei, LUO Han-wen, SONG Wen-tao. A simple channel estimator for space-time coded OFDM systems in rapid fading channels[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2004, 5(1): 45-49.