Deep clipping for impulsive noise mitigation in OFDM-based power-line communications

F.H. Juwono, Qinghua Guo, David Huang, Kitpo Wong

    Research output: Contribution to journalArticlepeer-review

    72 Citations (Scopus)

    Abstract

    Nonlinear preprocessors, including clipping, blanking, and joint blanking/clipping have been proposed to be employed in orthogonal frequency-division multiplexing systems for mitigating the impulsive noise in power-line communications. In this paper, we propose using a new variant of nonlinear preprocessor, namely, deep clipping, to mitigate the impulsive noise. In contrast to clipping, blanking, and joint blanking/clipping, where one or two thresholds is used to detect if the impulsive noise occurs, and if the impulsive noise occurs how to handle it, deep clipping is characterized by two alternative parameters, namely, a threshold and a depth factor. By optimizing the two parameters, we find that deep clipping achieves better signal-to-noise ratio (SNR) performance than clipping, blanking, and joint blanking/clipping. In addition, we present a mathematical expression for deep clipping and show that the SNR expressions regarding conventional clipping, blanking, and joint blanking/clipping can be easily obtained by using our analytical methods. © 1986-2012 IEEE.
    Original languageEnglish
    Pages (from-to)1335-1343
    Number of pages9
    JournalIEEE Transactions on Power Delivery
    Volume29
    Issue number3
    Early online date25 Feb 2014
    DOIs
    Publication statusPublished - Jun 2014

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