IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v10y2014i5p740906.html
   My bibliography  Save this article

Frequency Synchronization Algorithms for MIMO-OFDM Systems with Periodic Preambles

Author

Listed:
  • Jian Sun
  • Fudong Li
  • Cheng-Xiang Wang
  • Xuemin Hong
  • Dongfeng Yuan

Abstract

This paper addresses the problem of frequency synchronization in multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems with periodic preambles. Two Maximum Likelihood Estimators (MLEs) and four low complexity Best Linear Unbiased Estimators (BLUEs) are proposed. When cyclic shift delay is applied to periodic preambles, MLEs can adopt a unique structure which employs diversity and correlation calculation in the estimator. We first propose a multiple-antenna estimator named as MLE-MA, which has an estimation range of the entire signal bandwidth. MLE-MAS is a simplified version of MLE-MA, which reduces the computational load at the cost of a narrower estimation range. Moreover, phases or differential phases obtained from the autocorrelation of periodic sequences with different delays can be used to estimate carrier frequency offset (CFO). The weighting coefficients of all BLUEs are derived in closed form and shown to be independent from the signal-to-noise ratio (SNR). BLUEs have asymptotically consistent variances. Theoretical and simulation results demonstrate that all estimators can asymptotically approach the theoretical Cramer Rao Lower bound (CRLB) at different SNRs.

Suggested Citation

  • Jian Sun & Fudong Li & Cheng-Xiang Wang & Xuemin Hong & Dongfeng Yuan, 2014. "Frequency Synchronization Algorithms for MIMO-OFDM Systems with Periodic Preambles," International Journal of Distributed Sensor Networks, , vol. 10(5), pages 740906-7409, May.
    • Handle: RePEc:sae:intdis:v:10:y:2014:i:5:p:740906
    DOI: 10.1155/2014/740906
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2014/740906
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2014/740906?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:10:y:2014:i:5:p:740906. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.