  In this paper we focus on the tracking performance of incremental adaptive
LMS algorithm in an adaptive network. For this reason we consider the unknown
weight vector to be a time varying sequence. First we analyze the performance
of network in tracking a time varying weight vector and then we explain the
estimation of Rayleigh fading channel through a random walk model. Closed-form
relations are derived for mean square error (MSE), mean square deviation (MSD)
and excess mean square error (EMSE)of analyzed network in tracking Rayleigh
fading channel and random walk model. Comparison between theoretical and
simulation results shows a perfect match and verifies performed calculations.
