Post-Processing of Iterative Estimation and Cancellation Scheme for Clipping Noise in OFDM Systems

  • Kee Hoon Kim
  • , Chanki Kim*
  • *Corresponding author for this work

    Research output: Contribution to journalJournal articlepeer-review

    Abstract

    Clipping is an efficient and simple method that can reduce the peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. However, clipping causes in-band distortion referred to as clipping noise. To resolve this problem, a novel iterative estimation and cancellation (IEC) scheme for clipping noise is one of the most popular schemes because it can significantly improve the performance of clipped OFDM systems. However, IEC exploits detected symbols at the receiver to estimate the clipping noise in principle and the detected symbols are not the sufficient statistic in terms of estimation theory. In this paper, we propose the post-processing technique of IEC, which fully exploits given sufficient statistic at the receiver and thus further enhances the performance of a clipped OFDM system as verified by simulations.

    Original languageEnglish
    Pages (from-to)352-358
    Number of pages7
    JournalIEICE Transactions on Communications
    VolumeE106B
    Issue number4
    DOIs
    StatePublished - 2023.04

    Keywords

    • clipping
    • orthogonal frequency division multiplexing (OFDM)
    • peak-to-average power ratio (PAPR)

    Quacquarelli Symonds(QS) Subject Topics

    • Computer Science & Information Systems
    • Engineering - Electrical & Electronic
    • Engineering - Petroleum

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