• DocumentCode
    1764315
  • Title

    Clipping Noise Cancelation for OFDM Systems Using Reliable Observations Based on Compressed Sensing

  • Author

    Kee-Hoon Kim ; Hosung Park ; Jong-Seon No ; Habong Chung ; Dong-Joon Shin

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Seoul Nat. Univ., Seoul, South Korea
  • Volume
    61
  • Issue
    1
  • fYear
    2015
  • fDate
    42064
  • Firstpage
    111
  • Lastpage
    118
  • Abstract
    In this paper, a clipping noise cancelation scheme using compressed sensing (CS) technique is proposed for orthogonal frequency division multiplexing systems. The proposed scheme does not need reserved tones or pilot tones, which is different from the previous works using CS technique. Instead, observations of the clipping noise in data tones are exploited, which leads to no loss of data rate. Also, in contrast with the previous works, the proposed scheme selectively exploits the reliable observations of the clipping noise instead of using whole observations, which results in minimizing the bad influence of channel noise. From the selected reliable observations, the clipping noise in time domain is reconstructed and canceled by using CS technique. Simulation results show that the proposed scheme performs well compared to other conventional clipping noise cancelation schemes and shows the best performance in some cases.
  • Keywords
    OFDM modulation; compressed sensing; interference suppression; time-domain analysis; CS technique; OFDM systems; channel noise minimization; clipping noise cancellation scheme; compressed sensing technique; data tones; orthogonal frequency division multiplexing systems; time domain; Frequency-domain analysis; Noise; Peak to average power ratio; Receivers; Reliability; Vectors; Clipping noise; compressed sensing (CS); fast Fourier transform (FFT); orthogonal frequency division multiplexing (OFDM); peak-to-average power ratio (PAPR);
  • fLanguage
    English
  • Journal_Title
    Broadcasting, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9316
  • Type

    jour

  • DOI
    10.1109/TBC.2014.2374222
  • Filename
    6991526