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Maximum-Likelihood Carrier-Frequency Synchronization and Channel Estimation for MIMO-OFDM Systems

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Wireless Technology

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 44))

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Abstract

In this chapter, we propose a new scheme for maximum-likelihood (ML) estimation of both carrier-frequency offset (CFO) and channel coefficients in multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, assuming that a training sequence is available. Our scheme is also capable to accommodate any space–time coded (STC)-OFDM transmission. Furthermore, the Cramer–Rao bounds (CRBs) for both CFO and channel estimators are developed to evaluate the performance of the proposed scheme. The simulation results show that the proposed algorithm achieves almost ideal performance compared with the CRB for both channel and frequency offset estimations.

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Authors and Affiliations

  1. K. N. Toosi University of Technology, P. O. Box: 16315-1355, Tehran, Iran

    Soheil Salari (Faculty of Electrical Engineering), Mahmoud Ahmadian (Faculty of Electrical Engineering) & Mehrdad Ardebilipour (Faculty of Electrical Engineering)

  2. University of Limoges, Ensil-Geste, Parc ESTER, Limoges, France

    Vahid Meghdadi & Jean-Pierre Cances

Authors
  1. Soheil Salari
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  2. Mahmoud Ahmadian
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  3. Mehrdad Ardebilipour
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  4. Vahid Meghdadi
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  5. Jean-Pierre Cances
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Corresponding author

Correspondence to Soheil Salari .

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Editors and Affiliations

  1. Computer Information Systems Dept., California State Polytechnic University, W. Temple Ave. 3801, Pomona , 91768, U.S.A.

    Steven Powell

  2. Dept. Management & Information , Mississippi State University, Mississippi, 39762, U.S.A.

    J.P. Shim

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Salari, S., Ahmadian, M., Ardebilipour, M., Meghdadi, V., Cances, JP. (2009). Maximum-Likelihood Carrier-Frequency Synchronization and Channel Estimation for MIMO-OFDM Systems. In: Powell, S., Shim, J. (eds) Wireless Technology. Lecture Notes in Electrical Engineering, vol 44. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-71787-6_11

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  • DOI: https://doi.org/10.1007/978-0-387-71787-6_11

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-71786-9

  • Online ISBN: 978-0-387-71787-6

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