• DocumentCode
    2743582
  • Title

    A New PAPR Reduction Technique for OFDM-WLAN in 802.11a Systems

  • Author

    Pradabpet, C. ; Eupree, K. ; Chivapreecha, S. ; Dejhan, K.

  • Author_Institution
    Phranakhon Si Ayutthaya Rajabhat, Univ. Phranakhon, Ayutthaya
  • fYear
    2008
  • fDate
    6-8 Aug. 2008
  • Firstpage
    179
  • Lastpage
    184
  • Abstract
    In this paper, we proposed a new PAPR reduction technique using selective mapping (SLM) cascade with adaptive peak power reduction (APPR) methods. This technique is used in a system based on Orthogonal Frequency Division Multiplexing (OFDM). OFDM has many orthogonally modulated sub-carriers which unexpectedly produce high peak to average power ratio (PAPR). The high PAPR will occasionally reach the amplifier saturation region and therefore result in signal distortion, which causes bit error rate (BER) degradation. The proposed method, a sequence of input data is rearranged by SLM for the reduction of PAPR and then fed into the APPR process in the proposed system. The APPR method controls the peak levels of the modulation signal by an adaptive algorithm. It reduces modulation signals over a predefined range. The parameter for simulation used standard WLAN in IEEE 802.11a system. In simulation results, the proposed method shows the improvement on PAPR, power spectrum density (PSD) and high performance BER compared with conventional APPR.
  • Keywords
    OFDM modulation; error statistics; wireless LAN; BER; IEEE 802.11a system; OFDM-WLAN; adaptive peak power reduction methods; bit error rate; orthogonal frequency division multiplexing; peak to average power ratio reduction technique; power spectrum density; selective mapping; Bit error rate; Degradation; Digital audio broadcasting; Digital video broadcasting; Distortion; Multimedia communication; OFDM modulation; Partial transmit sequences; Peak to average power ratio; Power amplifiers; APPR; OFDM; PAPR; SLM; Wlan;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2008. SNPD '08. Ninth ACIS International Conference on
  • Conference_Location
    Phuket
  • Print_ISBN
    978-0-7695-3263-9
  • Type

    conf

  • DOI
    10.1109/SNPD.2008.39
  • Filename
    4617367