• DocumentCode
    2319388
  • Title

    PAPR reduction with phase factors suboptimization for OFDM systems

  • Author

    Gao, Jing ; Wang, Jinkuan ; Wang, Bin

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Univ. of Northeastern Shenyang, Shenyang, China
  • fYear
    2010
  • fDate
    16-20 Aug. 2010
  • Firstpage
    302
  • Lastpage
    305
  • Abstract
    Partial transmit sequence (PTS) is an effective technique to reduce the peak-to-average power ratio (PAPR) for orthogonal frequency division multiplexing (OFDM) transmitter. However, selecting the optimal parameters for the PTS is very complex since it requires an exhaustive search of all possible weighting factors whose number grows exponentially with the number of subblocks. An improved particle swarm optimization (PSO) based PTS algorithm is proposed to reduce the complexity by choosing the weighting factors suboptimally. The evaluation shows that the proposed algorithm performs very closely to the optimal PTS in many cases with much lower complexity.
  • Keywords
    OFDM modulation; computational complexity; particle swarm optimisation; radio transmitters; OFDM; PAPR reduction; PTS algorithm; orthogonal frequency division multiplexing; partial transmit sequence; particle swarm optimization; peak-to-average power ratio; phase factors suboptimization; transmitter; weighting factors; Complexity theory; Hamming distance; Optimization; Partial transmit sequences; Particle swarm optimization; Peak to average power ratio; OFDM; PAPR; PTS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics (ICAL), 2010 IEEE International Conference on
  • Conference_Location
    Hong Kong and Macau
  • Print_ISBN
    978-1-4244-8375-4
  • Electronic_ISBN
    978-1-4244-8374-7
  • Type

    conf

  • DOI
    10.1109/ICAL.2010.5585297
  • Filename
    5585297