• DocumentCode
    3160404
  • Title

    Peak to average power reduction using amplitude and sign adjustment

  • Author

    Sharif, Masoud ; Florens, Cedric ; Fazel, Maryam ; Hassibi, Babak

  • Author_Institution
    Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    20-24 June 2004
  • Firstpage
    837
  • Abstract
    In this paper, we propose a method to reduce the peak to mean envelope power ratio (PMEPR) of multicarrier signals by modifying the constellation. For MPSK constellations, we minimize the maximum of the multicarrier signal over the sign and amplitude of each subcarrier. In order to find an efficient solution to the aforementioned non-convex optimization problem, we present a suboptimal solution by first optimizing over the signs using the result of M. Sharif et al. (2003), and then optimizing over the amplitudes given the signs. We prove that the minimization of the maximum of a multicarrier signal over the amplitude of each subcarrier can be written as a convex optimization problem with linear matrix inequality constraints. We also generalize the idea to other constellations such as 16QAM. Simulation results show that by an average power increase of 0.21 db and not sending information over the sign of each subcarrier, PMEPR can be decreased by 5.1 db for a system with 128 subcarriers.
  • Keywords
    linear matrix inequalities; minimisation; phase shift keying; probability; quadrature amplitude modulation; signal processing; MPSK constellations; PMEPR; amplitude adjustment; linear matrix inequality constraints; multicarrier signals; nonconvex optimization problem; peak to mean envelope power ratio; power reduction; sign adjustment; Bandwidth; Broadband amplifiers; Constellation diagram; Constraint optimization; Distortion; Linear matrix inequalities; OFDM; Peak to average power ratio; Power amplifiers; Probability distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2004 IEEE International Conference on
  • Print_ISBN
    0-7803-8533-0
  • Type

    conf

  • DOI
    10.1109/ICC.2004.1312619
  • Filename
    1312619