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      Carrier frequency offset recovery for zero-IF OFDM receivers

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      Date
      2009
      Author
      Mitzel, Michael
      Type
      Thesis
      Degree Level
      Masters
      Metadata
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      Abstract
      As trends in broadband wireless communications applications demand faster development cycles, smaller sizes, lower costs, and ever increasing data rates, engineers continually seek new ways to harness evolving technology. The zero intermediate frequency receiver architecture has now become popular as it has both economic and size advantages over the traditional superheterodyne architecture. Orthogonal Frequency Division Multiplexing (OFDM) is a popular multi-carrier modulation technique with the ability to provide high data rates over echo ladened channels. It has excellent robustness to impairments caused by multipath, which includes frequency selective fading. Unfortunately, OFDM is very sensitive to the carrier frequency offset (CFO) that is introduced by the downconversion process. The objective of this thesis is to develop and to analyze an algorithm for blind CFO recovery suitable for use with a practical zero-Intermediate Frequency (zero-IF) OFDM telecommunications system. A blind CFO recovery algorithm based upon characteristics of the received signal's power spectrum is proposed. The algorithm's error performance is mathematically analyzed, and the theoretical results are verified with simulations. Simulation shows that the performance of the proposed algorithm agrees with the mathematical analysis. A number of other CFO recovery techniques are compared to the proposed algorithm. The proposed algorithm performs well in comparison and does not suffer from many of the disadvantages of existing blind CFO recovery techniques. Most notably, its performance is not significantly degraded by noisy, frequency selective channels.
      Degree
      Master of Science (M.Sc.)
      Department
      Electrical Engineering
      Program
      Electrical Engineering
      Supervisor
      Salt, J. Eric
      Committee
      Saadat Mehr, Aryan; Hussey, Glenn C.; Dodds, David E.; Daku, Brian L.
      Copyright Date
      2009
      URI
      http://hdl.handle.net/10388/etd-02132009-130539
      Subject
      non data-aided
      DPS
      wireless
      IEEE 802.16
      WirelessMAN
      WiMAX
      demodulation
      synchronization
      signal processing
      digital signal processing
      direct conversion
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      • Graduate Theses and Dissertations
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