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Volume 32 Issue 3
Aug.  2010
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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

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

doi: 10.3724/SP.J.1146.2009.00163
  • Received Date: 2009-02-12
  • Rev Recd Date: 2009-07-13
  • Publish Date: 2010-03-19
  • This paper addresses the issue of joint Maximum-Likelihood (ML) time-frequency synchronization and channel estimation for Multiple-Input Multiple-Output (MIMO) systems. The resulting joint ML estimation requires solving a maximization problem with no closed-form solution. Since numerical calculation of the estimation is computationally hard, a computationally efficient closed-form ML solution is proposed using two repetitions of orthogonal training sequences. With theoretical analysis and simulations, the mean-square errors of the ML estimates versus the average SNR and the number of antennas are investigated, and then the performance of the proposed estimator is compared with the Cramer-Rao Bound (CRB). The results prove the effectiveness of proposed estimator.
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  • 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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