Full Text:   <2189>

CLC number: TN911.23; TN929.5

On-line Access: 

Received: 2005-04-16

Revision Accepted: 2005-06-16

Crosschecked: 0000-00-00

Cited: 0

Clicked: 3448

Citations:  Bibtex RefMan EndNote GB/T7714

-   Go to

Article info.
1. Reference List
Open peer comments

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

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.

@article{title="RLS channel estimation with adaptive forgetting factor in space-time coded MIMO-OFDM systems",
author="Liang Yong-ming, Luo Han-wen, Huang Jian-guo",
journal="Journal of Zhejiang University Science A",
volume="7",
number="4",
pages="507~515",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A0507"
}

%0 Journal Article
%T RLS channel estimation with adaptive forgetting factor in space-time coded MIMO-OFDM systems
%A Liang Yong-ming
%A Luo Han-wen
%A Huang Jian-guo
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 4
%P 507~515
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A0507

TY - JOUR
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
IS - 4
SP - 507
EP - 515
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
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

Reference

[1] Alamouti, S.M., 1998. A simple transmit diversity technique for wireless communications. IEEE Journal Select. Areas Commun., 16(8):1451-1458.

[2] Barhumi, I., Leus, G., Moon, M., 2003. Optimal training design for MIMO-OFDM systems in mobile wireless channels. IEEE Trans. on Signal Processing, 51(6):1615-1624.

[3] Benjebbour, A., Yoshida, S., 2003. Simplified Weights Update Algorithm for Semi-adaptive Ordered Successive Detection in MIMO Wireless Systems. The 57th IEEE VTC, 2:989-993.

[4] Chen, Y.C., Su, Y.T., 2004. MIMO Channel Estimation in Spatially Correlated Environments. 15th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 1:498-502.

[5] Chueh, J., Hayoung, Y., Vucetic, B., 2004. An Iterative Adaptive Receiver Design Using the Multi-layer RLS Algorithm with Applications to Layered Space Time Coded Systems. 15th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2:1342-1346.

[6] Coon, J., Siew, J., Beach, M., Nix, A., Armour, S., McGeehan, J., 2003. A Comparison of MIMO-OFDM and MIMO-SCFDE in WLAN Environments. Global Telecommunications Conference, 6:3296-3301.

[7] Cozzo, C., Hughes, B.L., 2003. Joint channel estimation and data detection in space-time communications. IEEE Trans. on Communications, 51(8):1266-1270.

[8] Fan, L.H., Hoshyar, R., Fazel, S., Roberts, R., Politis, C., Tafazolli, R., 2004. New MAC Design to Accommodate Joint Detection Techniques in a MIMO-OFDM-based HIPERMAN System. The 13th IEEE Workshop on Local and Metropolitan Area Networks, LANMAN, p.223-228.

[9] Foschini, G.J., Gans, M.J., 1998. On limits of wireless communications in a fading environment when using multiple antennas. Wireless Pers. Commun., 6(3):311-335.

[10] Haykin, S., 2003. Adaptive Filter Theory. 4th Edition. Publishing House of Electronics Industry, Beijing.

[11] Khuabut, P., Kunarutanapruk, S., Transongcharoen, P., Jitapunkul, S., 2004a. RLS Channel Estimation with Forgetting Factor Adaptation for the Downlink of MC-CDMA System. Proceeding of 2004 IEEE International Conference on Networking, Sensing and Control: ICNSC2004, Taipei, Taiwan, p.1160-1164.

[12] Khuabut, P., Kunaruttanapruk, S., Transongcharoen, P., Jitap-unkul, S., 2004b. On the Improvement of RLS Channel Estimation in Forward Link of MC-CDMA System. IEEE CCECE 2004-CCEGI, Niagara Falls.

[13] Li, Y., 2002. Simplified channel estimation for OFDM systems with multiple transmit antennas. IEEE Trans. Wireless Commun., 1(1):67-75.

[14] Liu, H., Xu, G.H., 1995. Multiuser Blind Channel Estimation and Spatial Channel Pre-equalization. ICASSP-95, 3:1756-1759.

[15] Schafhuber, D., Matz, G., Hlawatsch, F., 2003a. Adaptive Wiener Filters for Time-varying Channel Estimation in Wireless OFDM Systems. IEEE ICASSP2003, 4:688-691.

[16] Schafhuber, D., Rupp, M., Matz, G., Hlawatsch, F., 2003b. Adaptive Identification and Tracking of Doubly Selective Fading Channels for Wireless MIMO-OFDM Systems. IEEE SPAWC-03, Rome, Italy.

[17] Stuber, G.L., Barry, J.R., McLaughlin, S.W., Li, Y., Ingram, M.A., Pratt, T.G., 2004. Broadband MIMO-OFDM wireless communications. Proceedings of the IEEE, 92(2):271-294.

[18] Sun, Y., Yee, M., Sandell, M., 2003. Iterative Channel Estimation with MIMO MMSE-turbo Equalization. 2003 IEEE 58th Vehicular Technology Conference, 2:1278-1282.

[19] Suthaharan, S., Nallanathan, A., Kannan, B., 2003. A Computationally Efficient Channel Estimation with Signal Detection for MIMO-OFDM Systems. 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2:1245-1249.

[20] Tarokh, V., Seshadri, N., Calderbank, A.R., 1998. Space-time codes for high data rate wireless communication: performance criterion and code construction. IEEE Trans. Inform. Theory, 44(2):744-765.

[21] Tarokh, V., Jafarkhani, H., Calderbank, A.R., 1999. Space-time block codes from orthogonal designs. IEEE Trans. Inform. Theory, 45(5):1456-1467.

[22] Wong, K.T., Cheung, S.K., 2004. Fractional self-decorrelation to enhance single-user-type DS-CDMA detectors output SINR in blind space-time RAKE receivers. IEEE Communications Letters, 8(6):336-338.

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - Journal of Zhejiang University-SCIENCE