Recursive Least Squares Lattice Algorithm for AdaptiveEqualization of a Linear Dispersive CommunicationChannel.

Abstract

ABSTRACT: Distortion is a serious undesirable phenomenon in the electrical and communication systems. It is produced in the transmitting channel and distorts the input signal with addition of noise to it. Because of its adverse impacts on the system, it is inevitable to eliminate or at least reduce its harmful effects to the minimum level by a simple and feasible technique. In this paper, we adopt the strategy of Recursive Least Square Lattice (RLSL) algorithm for adaptive transversal equalization to remove the effect of any type of distortion. The ingenuity of this research includes studying the convergence speed of the algorithm, degree of sensitivity to eigenvalue spread, and the regression coefficients for the equalizer for various channels. MATLAB software is used to perform the simulation work of this algorithm. The results indicate that the mean square errors have been reduced significantly throughout using this algorithm.