• DocumentCode
    1783908
  • Title

    Design and analysis of the UW-OFDM signal

  • Author

    Steendam, Heidi

  • Author_Institution
    TELIN Dept., Ghent Univ., Ghent, Belgium
  • fYear
    2014
  • fDate
    21-23 May 2014
  • Firstpage
    470
  • Lastpage
    474
  • Abstract
    Unique word (UW-) OFDM is a novel multicarrier system that is shown to be suitable for cognitive radio systems. To construct the UW-OFDM signal, a code generation matrix is required to introduce redundancy in the frequency domain, implying that the code generation matrix must satisfy a number of conditions. In this paper, we use an algebraic construction method to separate the conditions imposed by the signal shape from the code design. The degrees of freedom resulting from this construction method are used to optimize different performance measures (i.e., the minimum Euclidean distance and the power) at the transmitter or at the receiver side. Based on the algebraic decomposition, a composite channel can be defined. Irrespective of whether the optimization is done at the transmitter or the receiver, we shown in the paper that always the strongest modes of this composite channel must be excited.
  • Keywords
    OFDM modulation; cognitive radio; frequency-domain analysis; matrix decomposition; UW-OFDM signal design; algebraic construction method; algebraic decomposition; code design; code generation matrix; cognitive radio systems; composite channel; degrees-of-freedom; frequency domain; multicarrier system; signal shape; unique-word OFDM; Discrete Fourier transforms; Eigenvalues and eigenfunctions; Euclidean distance; Matrix decomposition; Optimization; Receivers; Transmitters; Euclidean distance; error rate; multicarrier communication; tight frame;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Control and Signal Processing (ISCCSP), 2014 6th International Symposium on
  • Conference_Location
    Athens
  • Type

    conf

  • DOI
    10.1109/ISCCSP.2014.6877915
  • Filename
    6877915