Adaptive Synchronization And Linear Channel Parameter Estimation Using Adaptive Filtering

In this paper, channel parameters are estimated and Adaptive Synchronization is done by using Kalman filter. The channel is assumed to be time varying in nature is modelled as a low-Pass tapped delay line filter. The Kalman filter technique is used to estimate the parameters of the channel with more accuracy. The parameters of the channel are time varying in nature. Channel estimation algorithms allow the receiver to approximate the impulse response of the channel and explain the behaviour of the channel. Channel is assumed to be linear such that the channel estimate is simply the estimate of the impulse response of the system.