• DocumentCode
    2044630
  • Title

    Widely linear data estimation for unique word OFDM

  • Author

    Huemer, Mario ; Onic, Alexander ; Hofbauer, Christian ; Trampitsch, Stefan

  • Author_Institution
    Inst. of Signal Process., Johannes Kepler Univ. Linz, Linz, Austria
  • fYear
    2013
  • fDate
    3-6 Nov. 2013
  • Firstpage
    1934
  • Lastpage
    1938
  • Abstract
    Unique word - orthogonal frequency division multiplexing (UW-OFDM) is known to feature an excellent bit error ratio performance when compared to conventional OFDM using cyclic prefixes (CP). In recent papers linear and non-linear UW-OFDM receivers have been investigated and compared for proper data vectors consisting of QPSK and 16-QAM symbols. In this work we derive the widely linear minimum mean square error (WLMMSE) estimator for the application to UW-OFDM in combination with real and therefore improper data vectors. For the investigated modulation schemes BPSK and M-ASK our simulation results indicate a significant performance gain of the widely linear estimator over strictly linear methods.
  • Keywords
    OFDM modulation; error statistics; mean square error methods; quadrature amplitude modulation; quadrature phase shift keying; radio receivers; 16-QAM symbols; BPSK; M-ASK; QPSK; UW-OFDM receivers; WLMMSE estimator; bit error ratio; cyclic prefixes; data vectors; linear data estimation; unique word orthogonal frequency division multiplexing; widely linear minimum mean square error estimator; Binary phase shift keying; Covariance matrices; Estimation; Generators; OFDM; Vectors; Cyclic Prefix (CP); LMMSE; UW-OFDM; Unique Word (UW); WLMMSE; non-systematically encoded UW-OFDM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2013 Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • Print_ISBN
    978-1-4799-2388-5
  • Type

    conf

  • DOI
    10.1109/ACSSC.2013.6810641
  • Filename
    6810641