Summary: Optimum Noise Thresholds in Decision Directed Impulse
Noise Mitigation for OFDM
Jean Armstrong, Michael Feramez and Himal A. Suraweera
Department of Electronic Engineering, La Trobe University,
Melbourne Victoria 3086, Australia.
This work was supported by an Australian Research Council (ARC) Large Grant.
Abstract--Impulse noise is a significant problem in some
OFDM applications including digital television
broadcasting. In this paper we study the optimum
threshold values for a novel decision directed impulse
noise mitigation algorithm. In this algorithm the noise
component in each received input sample is estimated
based on preliminary decisions on the transmitted data.
When the noise estimate if above a given threshold, it
indicates that impulse noise is present in the sample and
the estimated noise component is subtracted from the
input sample before final demodulation. In this paper
the optimum threshold levels for varying impulse noise
parameters are calculated.