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基于正交训练序列的MIMO系统联合最大似然时频同步和信道估计

裴敏艳 成文婧 魏急波

裴敏艳, 成文婧, 魏急波. 基于正交训练序列的MIMO系统联合最大似然时频同步和信道估计[J]. 电子与信息学报, 2010, 32(3): 633-637. doi: 10.3724/SP.J.1146.2009.00163
引用本文: 裴敏艳, 成文婧, 魏急波. 基于正交训练序列的MIMO系统联合最大似然时频同步和信道估计[J]. 电子与信息学报, 2010, 32(3): 633-637. doi: 10.3724/SP.J.1146.2009.00163
Pei Min-yan, Cheng Wen-jing, Wei ji-bo. Joint ML Time-Frequency Synchronization and Channel Estimation for MIMO Systems Using Orthogonal Training Sequences[J]. Journal of Electronics & Information Technology, 2010, 32(3): 633-637. doi: 10.3724/SP.J.1146.2009.00163
Citation: Pei Min-yan, Cheng Wen-jing, Wei ji-bo. Joint ML Time-Frequency Synchronization and Channel Estimation for MIMO Systems Using Orthogonal Training Sequences[J]. Journal of Electronics & Information Technology, 2010, 32(3): 633-637. doi: 10.3724/SP.J.1146.2009.00163

基于正交训练序列的MIMO系统联合最大似然时频同步和信道估计

doi: 10.3724/SP.J.1146.2009.00163

Joint ML Time-Frequency Synchronization and Channel Estimation for MIMO Systems Using Orthogonal Training Sequences

  • 摘要: 该文推导了多输入多输出(MIMO)系统中的符号定时、频偏和信道参数的联合最大似然(ML)估计。针对联合ML估计没有闭合的表达式、数值计算复杂度高的问题,该文提出了一种基于重复结构的正交训练序列的简化估计算法。该估计算法形式简单、复杂度低,且仍为最大似然估计。最后仿真分析了最大似然参数估计的均方误差与接收信噪比和天线数目的关系,并与Cramer-Rao界作了比较,表明了该算法的有效性。
  • Proakis J G. Digital Communication. Fourth Edition, NewYork: McGraw-Hill, 2006, Chapter 6.[2]Tarokh V, Naguib A, Seshadri N, and Calderbank A.Space-time codes for high data rate wireless communications:Performance criteria in the presence of channel estimationerrors, mobility and multiple paths[J].IEEE Transactions onCommunication.1999, 47(2):199-207[3]Besson O and Stoica P. On parameter estimation of MIMOflat-fading channels with frequency offsets[J].IEEETransactions on Signal Processing.2003, 51(3):602-613[4]Simoens F and Moeneclaey M. Computationally efficientfrequency offset estimation for flat-fading MIMO channels:performance analysis and training sequence design. IEEECommunications Society Globecom 2004, Dallas, Texas USA,29 Nov.-3 Dec. 2004, Vol 4: 2460-2464.[5]Salari S, Ardebilipour M, and Ahmadian M. Frequency offsetsynchronization and channel estimation for MIMO-OFDMsystems. The 9th International Conference on AdvancedCommunication Technology, Phoenix Park, Korea, 12-14 Feb.2007, Vol 3: 1474-1478.[6]Saemi A, Meghdadi V, Cances J P, Zahabi M R, and DumasJ M. ML MIMO-OFDM time synchronization/channelestimation for unknown frequency selective fading channels.48th International Symposium ELMAR-2006, Zadar, Croatia,07-09 June 2006: 255-258.[7]Saemi A, Meghdadi V, Cances J P, and Zahabi M R. JointML time-frequency synchronization and channel estimationalgorithm for MIMO-OFDM systems[J].IET Circuits DevicesSystems.2008, 2(1):103-111[8]Lee K and Chun J. Frequency-offset estimation for MIMOand OFDM systems using orthogonal training sequences[J].IEEE Transactions on Vehicular Technology.2007, 56(1):146-156[9]Ghogho M and Swami A. Training design for multipathchannel and frequency-offset estimation in MIMO systems[J].IEEE Transactions on Signal Processing.2006, 54(10):3957-3965
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出版历程
  • 收稿日期:  2009-02-12
  • 修回日期:  2009-07-13
  • 刊出日期:  2010-03-19

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