A New Channel Estimation Method in OFDM Systems

Zhang Sheng-li; Zhu Jin-kang; Zhang Li-li

doi:10.3724/SP.J.1146.2005.00705

Volume 29 Issue 1

Jan. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2007 > 29(1): 157-160

Zhang Sheng-li, Zhu Jin-kang, Zhang Li-li. A New Channel Estimation Method in OFDM Systems[J]. Journal of Electronics & Information Technology, 2007, 29(1): 157-160. doi: 10.3724/SP.J.1146.2005.00705

Citation:

Zhang Sheng-li, Zhu Jin-kang, Zhang Li-li. A New Channel Estimation Method in OFDM Systems[J]. Journal of Electronics & Information Technology, 2007, 29(1): 157-160. doi: 10.3724/SP.J.1146.2005.00705

Zhang Sheng-li, Zhu Jin-kang, Zhang Li-li. A New Channel Estimation Method in OFDM Systems[J]. Journal of Electronics & Information Technology, 2007, 29(1): 157-160. doi: 10.3724/SP.J.1146.2005.00705

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A New Channel Estimation Method in OFDM Systems

doi: 10.3724/SP.J.1146.2005.00705

Received Date: 2005-06-17
Rev Recd Date: 2006-05-29
Publish Date: 2007-01-19

Abstract

Abstract

All the traditional channel estimation methods have the same default: they use too many pilots which decreases the frequency efficiency. The subject of this paper mainly focuses on the research of new algorithms and proposes the channel estimation principle explicitly: separate the estimation of multi-path amplitude and delay. Periodic block type pilot are used for the path delay. And for amplitude, a dynamic pilot pattern is proposed. Simulation shows that, comparing to the traditional low pass filter methods, the proposed method has better performance, lower complexity, and saving more than 70 percent of the pilots.

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References

[1] Cimini L J. Analysis and simulation of a digital mobile channel using orthogonal frequency division multiplexing[J].IEEE Trans. on Communications.1985, 33(7):665-675 [2] Muquet B, Courville M D, and Duhamel P. A subspace based blind and semi-blind channel identification method for OFDM systems. Signal Processing Advances in Wireless Communications, 1999: 170-173. Muquet B and Courville M D. Blind and semi-blind channel identification using second order statistics for OFDM systems. Acoustics, Speech and Signal Processing, 1999: 2745-2748. [3] Negi R and Cioffi J. Pilot tone selection for channel estimation in a mobile OFDM system[J].IEEE Trans. on Consumer Electronics.1998, 44(3):1122-1128 [4] Coleri S, Ergen M, and Bahai A. Channel estimation techniques based on pilot arrangement in OFDM system[J].IEEE Trans. on Broadcast.2002, 48:223-229 [5] Yang B, Letaief K B, Cheng Roger S, and Cao Zhigang. Channel estimation for OFDM transmission in multipath fading channels based on parametric channel modeling[J].IEEE Trans. on Communications.2001, 49(3):467-479 [6] Kang, Fie M P, and Gslfand S E. Blind estimation of multipath channel parameters: A modal analysis approach[J].IEEE Trans. on Communications.1999, 47(8):1140-1150 [7] Han B, Gao Xiqi, You X, Costa E, and Haas H. A novel channel estimation method for OFDM systems in multipath fading. IEEE International Conference, 2002: 696-700. [8] Tse D. Fundamentals of Wireless Communication. Cambridge University Press, 2004. [9] Osvaldo Simeone, Yeheskel Bar-Ness, and Umberto Spagnolini. Pilot-based channel estimation for OFDM systems by tracking the delay-subspace[J].IEEE Trans. on Wireless Communications.2004, 3(1):315-325 [10] Zhang Shengli, Lv Xingzai, and Zhu Jinkang. A new channel estimation method based on parametric channel model in UL OFDM systems. GMC, 2004: 481-485. [11] Commission of the European Communities. COST 207: Digital Land Mobile Radio Communications. Luxembourg: Final Report, Office for official Publications of the European Communities, 1989.

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