Dynamic peak-based threshold estimation method for mitigating impulsive noise in power-line communication systems

Emad Alsusa, Khaled M. Rabie

Research output: Contribution to journalArticlepeer-review

72 Citations (Scopus)

Abstract

Impulsive noise (IN) is one of the most dominant factors responsible for degrading the performance of power-line communication systems. One of the common techniques for mitigating IN is blanking which is applied at the front end of the receiver to zero the incoming signal when it exceeds a certain threshold. Determining the optimal blanking threshold (OBT) is, however, key for achieving the best performance. Most reported work to find the OBT is based on the availability of the long-term characteristics of IN at the receiver. In this paper, we consider orthogonal frequency-division multiplexing (OFDM)-based power-line communications and propose a method for finding the OBT without requiring any knowledge about the IN. We show that there is a direct relationship between the OBT and the peak-to-average power value of the OFDM symbol and utilize it to identify the OBT. The results reveal that the proposed technique not only eliminates the need to prior knowledge about the characteristics of IN but also achieves a gain between 0.5-2.5 dB depending on the accuracy of the signal peak-to-average estimate. It will also be shown how the performance of the proposed method can be further enhanced by employing some basic signal per processing at the transmitter.

Original languageEnglish
Article number6598994
Pages (from-to)2201-2208
Number of pages8
JournalIEEE Transactions on Power Delivery
Volume28
Issue number4
DOIs
Publication statusPublished - 2013
Externally publishedYes

Keywords

  • Blanking
  • impulsive noise
  • Middleton class-A noise
  • orthogonal frequency-division multiplexing (OFDM)
  • peak-to-average power (PAPR)
  • power-line communications (PLC)
  • signal-to-impulsive-noise ratio (SINR)
  • signal-to-noise ratio (SNR)

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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