[1] Han Bing, Gao Xiqi, You Xiaohu,. An enhanced iterative joint channel estimationand symbol detection algorithm for OFDM systems [J]. Journal of Southeast University (English Edition), 2003, 19 (2): 103-107. [doi:10.3969/j.issn.1003-7985.2003.02.001]

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An enhanced iterative joint channel estimationand symbol detection algorithm for OFDM systems()

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

Volumn:

19

Issue:

2003 2

Page:

103-107

Research Field:

Information and Communication Engineering

Publishing date:

2003-06-30

Info

Title:

An enhanced iterative joint channel estimationand symbol detection algorithm for OFDM systems

Author(s):

Han Bing;  Gao Xiqi;  You Xiaohu

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

Keywords:

OFDM;  channel estimation;  iteration;  multipath fading channel

PACS:

TN911.5

DOI:

10.3969/j.issn.1003-7985.2003.02.001

Abstract:

For orthogonal frequency division multiplexing(OFDM)wireless communication, the system throughput and data rate are usually limited by pilots, especially in a high mobility environment. In this paper, an enhanced iterative joint channel estimation and symbol detection algorithm is proposed to enhance the system throughput and data rate. With lower pilot power, the proposed scheme increases system throughput firstly, and then the channel estimation and symbol detection proceed iteratively within one OFDM symbol to improve the BER performance. In the proposed algorithm, the original channel estimate of each OFDM symbol is based on the channel estimate of the previous OFDM symbol, thus the variation of the mobile channel is traced efficiently, so the number of pilots in the time domain can be reduced greatly. Besides reducing the system overhead, the proposed algorithm is also shown by simulation to give much better BER performance than the conventional iterative algorithm does.

References:

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[3] Li Y, Cimini L J, Sollenberger N R. Robust channel estimation for OFDM systems with rapid dispersive fading channels [J]. IEEE Trans on Com, 1998, 46(7): 902-915.
[4] Tong L, Xu G, Kailath T. Blind identification and equalization based on second-order statistics: a time domain approach [J]. IEEE Trans Inform Theory, 1994, 40(3): 340-350.
[5] Moeher M L, Lodge J H. TCMP — a modulation and coding strategy for Rician fading channels [J]. IEEE J Sel Areas Com, 1989, 7(12): 1347-1355.
[6] Hoeher P, Kaiser S, Robertson I. Two-dimensional pilot-symbol-aided channel estimation by Wiener filtering [A]. In:IEEE Proc ICASSP’97[C]. 1997.1845-1848.
[7] Edford O, Sandell M, Beek J J, et al. Analysis of DFT-based channel estimators for OFDM[R]. Research Report TULEA Div of Signal Processing, Lule(。overa)University of Technology, 1996.
[8] Hang Bing, Wang Jianming, Gao Xiqi, et al. An iterative joint channel estimation and symbol detection algorithm for OFDM systems [J]. Journal of China Institute of Communications, 2003.(in Chinese)
[9] García M J F, Páez-Borrallo J M, Zazo S. DFT-based channel estimation in 2D-pilot-symbol-aided OFDM wireless systems [A]. In: IEEE Proc VTC’01 Spring [C]. 2001. 810-814.

Memo

Memo:

Biographies: Han Bing(1974—), female, graduate; You Xiaohu(corresponding author), male, doctor, professor, xhyu@seu.edu.cn.

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