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快变信道下OFDM系统的判决反馈信道估计 被引量：3

Decision Feedback Channel Estimation of OFDM Systems in Fast Time-Varying Channels
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摘要 为了改善OFDM系统在快变信道下的传输性能,文中提出一种利用叠加训练序列进行时域信道估计的方案.基于时变信道抽头系数的指数基插值模型,利用一个符号内的叠加周期训练序列建立线性表达式,并根据最小二乘准则求出插值模型的相应参数,由此构造对应的时域响应矩阵和频域均衡矩阵.为进一步改善估计和均衡性能,将所得的符号判决作为已知的训练序列进行迭代信道参数估计,从而能有效地改善信道估计的性能并消除载波间干扰.实验结果表明文中算法在时间-频率双选择性信道下具有较好的性能. In order to improve the transmission performance of Orthogonal Frequency Division Multiplexing （OFDM） systems in fast time-varying channels, a novel time-domain channel estimation scheme based on the superimposed training sequence is proposed. In this scheme, according to the exponential interpolation model of the channel tap coefficient, a linear model is established by using the periodic superimposed training sequence of a symbol, and the parameters of the interpolation model are estimated by means of the least square method. Then, the corresponding time-domain response matrix and frequency-domain equalization matrix are constructed. Moreover, in order to further improve the estimation and equalization performances, symbol decisions are taken as the known training sequences to estimate the iterative channel parameters, thus effectively improving the channel estimation performance and eliminating the inter-carrier interference. Experimental results indicate that the proposed scheme is of excellent performance in the condition of time-frequency doubly-selective channels.
作者 侯伟昆 叶梧 冯穗力 孙立军
机构地区 华南理工大学电子与信息学院
出处 《华南理工大学学报（自然科学版）》 EI CAS CSCD 北大核心 2008年第8期48-53,共6页 Journal of South China University of Technology(Natural Science Edition)
基金 粤港关键领域重点突破项目(20060104-2) 广东省自然科学基金资助项目(06300097)
关键词 正交频分复用 信道估计 叠加训练序列 信道冲击响应 orthogonal frequency division multiplexing channel estimation superimposed training sequence channel impulse response
分类号 TN911.23 [电子电信—通信与信息系统]
  • 相关文献

参考文献14

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二级参考文献12

  • 1Orozco-Lugo A G,Lara M M,Mclernon D C.Channel estimation using implicit training[J].IEEE Transactions on Signal Processing,2004,52(1):240-254.
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  • 10Tugnait J K,Luo W.On channel estimation using superimposed training and first-order statistics[J].IEEE Communications Letters,2003,7 (9):413-415.

共引文献1

同被引文献24

  • 1Zeng Yonghong,NgA Tung-sang.Semi-blind channel estimation method for multiuser multi-antenna OFDM systems[J].IEEE Transactions on Signal Processing,2004,52(5):1419-1429.
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  • 3Richard T B,Louis L S.Signal processing applications of oblique projection operators[J].IEEE Transactions on Signal Processing,1994,42(6):1413-1424.
  • 4Yu Xiang,Tong Lang.Joint channel and symbol estimation by oblique projections[J].IEEE Transactions on Signal Processing,2001,49(12):3074-3083.
  • 5Piet V,Marc M.Two deterministic blind channel estimation algorithms based on oblique projections[J].Signal Processing,2000,80(3):481-495.
  • 6Peng Chunyi,Zhang Xianda,Cai Qutang.A block-adaptive subspace method using oblique projection for blind separation of convolutive mixtures[C] ∥Advances in Neural Networks 2005.Berlin-Heidelberg:Springer-Verlag,2005:526-531.
  • 7Chen Minhua,Wang Zuoying.Subspace tracking in co-lored noise based on oblique projection[C] ∥Acoustics,Speech and Signal Processing.Toulouse:IEEE,2006:Ⅲ556-Ⅲ559.
  • 8Ivan G,Kristiaan P,Johan A K.Subspace identification of hammerstein systems using least squares support vector machines[J].IEEE Transactions on Automaic Control,2005,50(10):1509-1519.
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  • 10Raghavendra M R, Nagaraj S, Pradap K V, et al. Robust channel estimation and detection for uplink control cha- nnelin 3GPP-LTE [ C] //Proceedings of IEEE Global Tele- communications Conference. Honolulu : IEEE ,2009 : 1-5.

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二级引证文献6

华南理工大学学报（自然科学版）
2008年 第8期

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