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具有周期调制和循环前缀的块传输系统中MIMO信道的盲辨识

陈彩云 邓安安 谢胜利

陈彩云, 邓安安, 谢胜利. 具有周期调制和循环前缀的块传输系统中MIMO信道的盲辨识[J]. 电子与信息学报, 2008, 30(10): 2377-2380. doi: 10.3724/SP.J.1146.2007.01261
引用本文: 陈彩云, 邓安安, 谢胜利. 具有周期调制和循环前缀的块传输系统中MIMO信道的盲辨识[J]. 电子与信息学报, 2008, 30(10): 2377-2380. doi: 10.3724/SP.J.1146.2007.01261
Chen Cai-Yun, Deng An-An, Xie Sheng-Li. Blind Identification of MIMO Channels in Block Transmission System with Periodic Modulation and Cyclic Prefix[J]. Journal of Electronics & Information Technology, 2008, 30(10): 2377-2380. doi: 10.3724/SP.J.1146.2007.01261
Citation: Chen Cai-Yun, Deng An-An, Xie Sheng-Li. Blind Identification of MIMO Channels in Block Transmission System with Periodic Modulation and Cyclic Prefix[J]. Journal of Electronics & Information Technology, 2008, 30(10): 2377-2380. doi: 10.3724/SP.J.1146.2007.01261

具有周期调制和循环前缀的块传输系统中MIMO信道的盲辨识

doi: 10.3724/SP.J.1146.2007.01261
基金项目: 

国家自然科学基金重点项目(U0635001)和国家自然科学基金项目(60505005, 60674033, 60774094)资助课题

Blind Identification of MIMO Channels in Block Transmission System with Periodic Modulation and Cyclic Prefix

  • 摘要: 在块传输系统中,可通过添加块前缀来辅助信道识别。一种针对具有循环前缀和周期调制的块传输系统的盲辨识方法,利用了信道矩阵的块循环特性来求解信道系数。该文将该算法推广到了多用户系统,并给出了算法的辨识条件。同样是基于二阶统计量的方法,新算法克服了基于子空间分解类算法对噪声,对信道阶数误估计,对信道零点位置敏感的缺点。文中仿真证明了在较低信噪比条件下,利用新算法仍可对多输入多输出信道进行较好的估计。
  • [1] Wu Jwo-Yuh and Lee Ta-Sung. Periodic-modulation-basedblind channel identification for single-carrier blocktransmission with frequency-domain equalization [J].IEEETrans. on Signal Processing.2006, 54(3):1114-1130 [2] Chen Yi-Sheng and Lin Ching-An. Blind identification ofMIMO channels in zero padding block transmission systems[J].IEEE Trans. on Signal Processing.2007, 55(2):764-772 [3] Tsatsanis M K and Giannakis G B. Transmitter inducedcyclostaionarity for blind channel equalization [J].IEEETrans. on Signal Processing.1997, 45(7):1785-1794 [4] Inouye Yujiro and Liu Ruey-Wen. A system-theoreticfoundation for blind equalization of an FIR MIMO channelsystem [J].IEEE Trans. on Circuits and Systems-I:Fundamental Theory and Applications.2002, 49(4):425-436 [5] Tan H Z and Chow T W S. Blind identification of quadraticnonlinear models using neural networks with higher ordercumulants [J].IEEE Trans. on Industrial Electronics.2000,47(3):687-696 [6] Tan H Z and Chow T W S. Blind and total identification ofARMA models in higher order cumulants domain [J].IEEETrans. on Industrial Electronics.1999, 46 (6):1233-1240 [7] Li Y Q, Amari S I, and Cichocki A, et al.. Probabilityestimation for recoverability analysis of blind sourceseparation based on sparse representation [J].IEEE Trans.on Information Theory.2006, 52(7):3139-3152 [8] 丛进, 杨绿溪. 基于QR 分解的MIMO 信道盲辨识和盲均衡方法[J]. 电子学报, 2004, 32(10): 1589-1593.Cong Jin and Yang Lu-xi. Blind identification and blindequalization of MIMO channels based on QR factorization [J].Acta Electronica Sinica, 2004, 32(10): 1589-1593. [9] Shen J and Ding Z. Direct blind MMSE channel equalizationbased on second-order statistics [J].IEEE Trans. on SignalProcessing.2000, 48(4):1015-1022 [10] Ding Z and Li Q. Blind MIMO channel identification fromsecond order statistics using rank deficient channelconvolution matrix [J]. IEEE Trans. on Signal Processing,2003, 51(2): 536-543.
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  • 被引次数: 0
出版历程
  • 收稿日期:  2007-07-31
  • 修回日期:  2008-04-29
  • 刊出日期:  2008-10-19

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