• DocumentCode
    693659
  • Title

    Oversampled convex optimized clipping technique for Squared Crest Factor (SCF) reduction in OFDM signal

  • Author

    Gayathri, B. ; Nandalal, V.

  • Author_Institution
    ECE, Sri Krishna Coll. of Eng. & Technol., Coimbatore, India
  • fYear
    2013
  • fDate
    19-21 Dec. 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    There are numerous benefits in the transmission of a signal using Orthogonal Frequency Division Multiplexing (OFDM). They are high data rate, robust performance, high spectrum efficiency, etc., but high crest factor (cf), is the main drawback which minimises transmitter power efficiency and complexity in hardware implementation. The method used here is a concept of iterative standard deviation based clipping and optimized filtering. The proposed method shows a higher reduction in Squared Crest Factor and bit error rate with minimum number of iterations and reduced out-of-band distortion when compared over classical (ICF) methods. The effects of oversampling at l= 1,2,4,8 on the performance of proposed OFDM system is also discussed.
  • Keywords
    OFDM modulation; error statistics; filtering theory; iterative methods; OFDM signal; bit error rate; iterative standard deviation based clipping; optimized filtering; orthogonal frequency division multiplexing; out-of-band distortion; oversampled convex optimized clipping technique; power efficiency; squared crest factor reduction; Bit error rate; Communication systems; Filtering; Peak to average power ratio; Standards; Time-domain analysis; Orthogonal frequency division multiplexing; conic optimization; iterative clipping and filtering; peak-to-average power ratio; receive constellation error; squared crest factor (SCF); standard deviation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computing and Communication Systems (ICACCS), 2013 International Conference on
  • Conference_Location
    Coimbatore
  • Type

    conf

  • DOI
    10.1109/ICACCS.2013.6938751
  • Filename
    6938751