Performance evaluation of the transversal filter equalizer using ZF and LMS algorithm

In practical digital communication systems, the equalizer in the receiver is generally used to compensate for the distortion induced from the communication channels. We construct a channel estimation model for a linear equalizer and evaluate the performance of the equalizer with the ZF (zero-forcing) and LMS (least mean square) algorithm using a specified channel characteristic. From the simulation results, both the ZF and LMS algorithm with 11 taps compensate perfectly the channel-induced distortion known as intersymbol interference.