Abstract
An adaptive channel estimation method, to be used in Power Line Communication systems with Orthogonal
Frequency Division Multiplexing modulation, is presented in this paper. The proposed Maximum A-Posteriori based
estimator assumes that the channel is frequency selective and slowly time varying and estimates the subchannel
correlations adaptively. The performance of the estimator is investigated by evaluating the Mean Square Error of
estimations. The simulations are done using measured channel data with additive white Gaussian noise assumption,
which show that the proposed estimator has better performance compared to Maximum Likelihood estimation. The
performance of the proposed estimator is also analysed under the assumption of colored noise, which is the common
case in power lines. The simulations have declared that the performance of the proposed estimator is quite satisfactory,
even when the noise is coloured.