[1] Huang Xuejun, Yu Songyu, Bi Houjie,. New subspace algorithm for blind channel estimation in OFDM systems [J]. Journal of Southeast University (English Edition), 2005, 21 (2): 132-135. [doi:10.3969/j.issn.1003-7985.2005.02.003]

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New subspace algorithm for blind channel estimation in OFDM systems()

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

Volumn:

21

Issue:

2005 2

Page:

132-135

Research Field:

Information and Communication Engineering

Publishing date:

2005-06-30

Info

Title:

New subspace algorithm for blind channel estimation in OFDM systems

Author(s):

Huang Xuejun;  Yu Songyu;  Bi Houjie

Institute of Image Communication and Information Processing, Shanghai Jiaotong University, Shanghai 200030, China

Keywords:

orthogonal frequency division multiplexing(OFDM);  blind channel estimation;  subspace algorithm

PACS:

TN911.5

DOI:

10.3969/j.issn.1003-7985.2005.02.003

Abstract:

In order to increase the transmission efficiency, a subspace-based algorithm for blind channel estimation using second-order statistics is proposed in orthogonal frequency division multiplexing(OFDM)systems.Because the transmission equation of OFDM systems does not exactly have the desired structure to directly derive a subspace algorithm, the algorithm first divides the OFDM signals into three parts, then, by exploiting the redundancy introduced by the cyclic prefix(CP)in OFDM signals, a new equation with Toeplitz channel matrix is derived.Based on the equation, a new blind subspace algorithm is developed.Toeplitz structure eases the derivation of the subspace algorithm and practical computation.Moreover the algorithm does not change the existing OFDM system, is robust to channel order overdetermination, and the channel zero locations.The performances are demonstrated by simulation results.

References:

[1] Rohling H, May T, Bruninghaus K, et al.Broad-band OFDM radio transmission for multimedia applications [J].Proceedings of the IEEE, 1999, 87(10):1778-1789.
[2] Wang Z, Giannakis G B.Wireless multicarrier communications:where Fourier meets Shannon [J].IEEE Signal Processing Magazine, 2000, 47(3):29-48.
[3] Giannakis G B.Filterbanks for blind channel identification and equalization [J].IEEE Trans Signal Processing Lett, 1997, 4(6):184-187.
[4] Heath R W, Giannakis G B.Exploiting input cyclostationarity for blind channel identification in OFDM system [J].IEEE Trans Signal Processing, 1999, 47(3):848-856.
[5] Muquet B, Courville M D, Duhamel P.Subspace-based blind and semi-blind channel estimation for OFDM systems [J].IEEE Trans Signal Processing, 2002, 50(7):1699-1712.
[6] Scaglione A, Giannakis G B, Barbarossa B.Redundant filterbank precoders and equalizers, partⅡ:blind channel estimation, synchronization, and direct equalization [J].IEEE Trans Signal Processing, 1999, 47(7):2007-2022.
[7] Tong L, Xu G, Kailath T.Blind identification and equalization based on second-order statistics:a time domain approach [J].IEEE Trans Information Theory, 1994, 40(3):340-349.
[8] Moulines E, Duhamel P, Cardoso J F, et al.Subspace methods for the blind identification of multichannel FIR filters [J].IEEE Trans Signal Processing, 1995, 43(12):516-525.

Memo

Memo:

Biographies: Huang Xuejun(1967—), male, graduate;Bi Houjie(corresponding author), male, professor, bihj@njupt.edu.cn.

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