[1] Jing Ya, Xu Xiaodong, Chen Ming, Cheng Shixin, et al. Iterative receivers for SFBC-OFDM systemswith adaptive training scheme [J]. Journal of Southeast University (English Edition), 2005, 21 (2): 127-131. [doi:10.3969/j.issn.1003-7985.2005.02.002]

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Iterative receivers for SFBC-OFDM systemswith adaptive training scheme()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

21

Issue:

2005 2

Page:

127-131

Research Field:

Information and Communication Engineering

Publishing date:

2005-06-30

Info

Title:

Iterative receivers for SFBC-OFDM systemswith adaptive training scheme

Author(s):

Jing Ya;  Xu Xiaodong;  Chen Ming;  Cheng Shixin

National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

Keywords:

space-frequency block-coded orthogonal frequency division multiplexing(SFBC-OFDM);  iterative receiver;  channel estimation;  adaptive training scheme

PACS:

TN911.5

DOI:

10.3969/j.issn.1003-7985.2005.02.002

Abstract:

This paper considers the design of iterative receivers for space-frequency block-coded orthogonal frequency division multiplexing(SFBC-OFDM)systems in unknown wireless dispersive fading channels.An iterative joint channel estimation and symbol detection algorithm is derived.In the algorithm, the channel estimator performs alternately in two modes.During the training mode, the channel state information(CSI)is obtained by a discrete-Fourier-transform-based channel estimator and the noise variance and covariance matrix of the channel response is estimated by the proposed method.In the data transmission mode, the CSI and transmitted data is obtained iteratively.In order to suppress the error propagation caused by a random error in identifying symbols, a simple error propagation detection criterion is proposed and an adaptive training scheme is applied to suppress the error propagation.Both theoretical analysis and simulation results show that this algorithm gives better bit-error-rate performance and saves the overhead of OFDM systems.

References:

[1] Sampath H, Talwar S, Tellado J, et al.A fourth-generation MIMO-OFDM broadband wireless system:design, performance, and field trial results [J].IEEE Commun Mag, 2002, 40(9):143-149.
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[3] Lu B, Wang X, Li Y.Iterative receivers for space-time block-coded OFDM systems in dispersive fading channels [J].IEEE Trans Wireless Commun, 2002, 1(2):213-225.
[4] Lee K F, Williams D B.A space-frequency transmitter diversity technique for OFDM systems [A].In:Proc of IEEE Global Telecommunications Conference [C].San Francisco, 2000, 3:1473-1477.
[5] Alamouti S M.A simple transmit diversity techniques for wireless communications [J].IEEE Journal on Selected Areas in Commun, 1998, 16(18):1451-1458.
[6] Li Y.Simplified channel estimation for OFDM systems with multiple transmit antennas[J].IEEE Trans Wireless Commun, 2002, 1(1):67-75.
[7] Kay S M.Fundamentals of statistical signal processing:estimation theory [M].Englewood Cliffs, NJ:Prentice Hall, 1993.325-327.
[8] Du J X, Li Y.MIMO-OFDM channel estimation based on subspace tracking [A].In:Proc of IEEE Vehicular Technology Conference [C].Jeju, Korea, 2003, 2:1084-1088.

Memo

Memo:

Biographies: Jing Ya(1978—), female, graduate;Cheng Shixin(corresponding author), male, professor, sxcheng@seu.edu.cn.

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