Channel equalization as an optimization problem

Equalization at the receiver is very much essential in communication system. It not only reduce the noise, ISI or CCI but to give a best possible signal to us. In this paper we have applied different optimization techniques like algorithms at the equalizer so that will get a desired signal. We proposed two algorithms, one is LSL (Least Squares Lattice) based on least square method which one of the most attractive properties is on excellent convergence velocity in order to estimate prediction error and also it has a reduced computational complexity. We have proposed another algorithm is variable length CMA which is applied on mixed phase channel for QAM signals. This method gives better convergence rate and also reduce MSE.