Abstract
The use of OFDM channel for the transmission of
data in power line communication (PLC) system has been of
several importance to technology development. However,
during transmission, the OFDM channel is greatly disturbed by
impulse noise that causes a wrong information to be received.
Several techniques such as iteration, coding, clipping and
nulling methods have been used to lessen the upshot of impulse
noise in OFDM channel. However, these techniques still suffer
some drawbacks and require a high signal-to-noise (SNR) power
for high performance. This paper presents an advanced use of
artificial neuro-fuzzy inference system (ANFIS) technique in
removing the complete impulse noise and some of the additive
white Gaussian noise (AWGN) that were mixed with the
transmitted data in an OFDM channel and using the minimum
SNR power. Obtained results propose that ANFIS technique can
be used to mitigate impulse noise from a powerline
communication channel.