• DocumentCode
    2807775
  • Title

    OFDM Peak to Average Power Ratio reduction using sparse bit-plane coding

  • Author

    Sung, Cheng-Han ; Hu, Yu Hen

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Wisconsin-Madison, Madison, WI, USA
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    3286
  • Lastpage
    3289
  • Abstract
    A novel Peak to Average Power Ratio (PAPR) reduction method leveraging the rare occurrence of large magnitude Orthogonal Frequency Division Multiplexing (OFDM) symbols is proposed. A distinct innovation of this approach is the exploitation of the sparseness structure of a bit-plane binary number representation of time domain OFDM symbols. By encoding the sparsely populated non-zero entries in the binary bit plane matrix, the dynamic range of OFDM symbols to be transmitted can be significantly reduced without increasing bit error rate. Smaller dynamic range of OFDM symbols implies reduced PAPR, and hence better performance. This method incurs no data rate reduction penalty which may occur when side information must be transmitted via some data subcarriers. Simulation results reveal that this proposed new method out-performs current PAPR reduction methods by wide margins.
  • Keywords
    OFDM modulation; encoding; error statistics; OFDM; PAPR; bit error rate; orthogonal frequency division multiplexing; peak to average power ratio reduction; sparse bit-plane coding; Decoding; Dynamic range; Encoding; Interference; Low pass filters; Nonlinear distortion; OFDM; Partial transmit sequences; Peak to average power ratio; Quantization; OFDM; Peak-to-Average-Power-Ratio (PAPR); bit plane coding; sparse coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5496030
  • Filename
    5496030