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Volume 31 Issue 6
Jun.  2009
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Tu Jia, Cai Yue-ming, Xu You-yun. Turbo Equalization Based on a New Kalman Filter for OFDM over Doubly-Selective Channels[J]. Journal of Electronics & Information Technology, 2009, 31(6): 1390-1394. doi: 10.3724/SP.J.1146.2008.00787
Citation: Tu Jia, Cai Yue-ming, Xu You-yun. Turbo Equalization Based on a New Kalman Filter for OFDM over Doubly-Selective Channels[J]. Journal of Electronics & Information Technology, 2009, 31(6): 1390-1394. doi: 10.3724/SP.J.1146.2008.00787

Turbo Equalization Based on a New Kalman Filter for OFDM over Doubly-Selective Channels

doi: 10.3724/SP.J.1146.2008.00787 cstr: 32379.14.SP.J.1146.2008.00787
  • Received Date: 2008-06-19
  • Rev Recd Date: 2008-11-24
  • Publish Date: 2009-06-19
  • In OFDM systems,the channel fast variations destroy the orthogonality among sub-carriers, resulting in inter-carrier interference (ICI) which degrades the system performance. Aiming at time-varying characteristic of doubly-selective channels, a channel estimation algorithm is proposed by a new Kalman filter, and is applied to the Oversampled Complex Exponential Basis Expansion Model (OCE-BEM), changing the variable channel parameters in the period of one OFDM symbol into invariable ones. Meanwhile, this new Kalman filter is combined with the low complexity LMMSE Turbo equalizer based on ICI suppression, and CRC checkout is used to control the iteration times of the algorithm, so it need not many pilot symbols in practice, still can ensure the algorithm performance and reduce the time-delay and complexity of this algorithm.
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  • 宋铁成,尤肖虎,沈连丰,宋晓晋. 基于导频和修正Kalman滤波的MIMO-OFDM 信道估计方法. 通信学报,2007, 28(2):23-28.Song Tie-cheng, You Xiao-hu, Shen Lian-feng, and SongXiao-jin. Channel estimation method for MIMO-OFDMsystems based on pilots and modified Kalman filter[J].Journal on Communications, 2007, 28(2): 23-28.[2]Han Ki-young, Lee Sang-wook, Lim Jun-seok, and SungKoeng-mo. Channel estimation for OFDM with fast fadingchannels by modified Kalman filter[J].IEEE Trans. onConsumer Electronics.2004, 50(2):443-449[3]Li Xin and Wong T F. Turbo equalization with nonlinearKalman filtering for time-varying frequency-selective fadingchannels[J].IEEE Trans. on Wireless Communications.2007,6(2):691-700[4]Song Jian-ming and Ding Xuan-hao. Modified Kalman filterfor MIMO-OFDM time-varying channel tracking[J]. ModernElectronics Technique, 2005, 204(13): 14-19.[5]Tsatsanis M K, Giannakis G B, and Zhou G. Estimation andequalization of fading channels with random coefficients[C][J].International Conference on Acoustics, Speech and SignalProcessing 1996, Atlanta, 7-10 May.1996, 2:1093-1096[6]Davis L M, Collings I B, and Evans R J. Coupled estimatorsfor equalization of fast-fading mobile channels[J]. IEEETrans. on Commun., 1998, 46(10): 1262-1265.[7]Barhumi I, Leus G, and Moonen M. Equalization for OFDMover doubly selective channels[J].IEEE Trans. on SignalProcessing.2006, 54(4):1445-1457[8]Haykin S. Adaptive Filter Theory[M]. Fourth EditionEnglewood Cliff: Prentice Hall, 2002, Chapter 10, 12 and 14.[9]Schniter P. Low-complexity equalization of OFDM indoubly-selective channels[J].IEEE Trans. on SignalProcessing.2004, 52(4):1002-1011[10]Cai X and Giannakis G B. Bounding performance andsuppressing intercarrier interference in wireless mobileOFDM[J].IEEE Trans. on Commun.2003, 51(12):2047-2056[11]Jeon W G, Chang K H, and Cho Y S. An equalizationtechnique for orthogonal frequency-division multiplexingsystems in time-variant multipath channels[J].IEEE Trans.on Commun.1999, 47(1):27-32
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