An architecture for a fractionally spaced Godard equalizer
Siddharth Sankar Bora, Ankumoni Bora, R. Nunna · 2002
In this paper, we describe an architecture for Blind Channel Equalization. The cost function known as Godard Cost Function is minimized by using a stochastic gradient descent algorithm. The output of the architecture can be used as a real time equalizer that can remove linear distortion appearing due to the imperfections of a channel. Due to the dynamic adjusting of the step size, divergence is avoided. Some performance comparisons are also shown.