RECURSIVE LEAST SQUARES ALGORITHM FOR ADAPTIVE TRANSVERSAL EQUALIZATION OF LINEAR DISPERSIVE COMMUNICATION CHANNEL

This paper is intended to analyse the performance, the rate of convergence, selection of proper filter order number, misadjustment, sensitivity to Eigenvalues spread, and computational requirement of the Recursive Least Squares (RLS) algorithm, which is one of the well-known effective algorithms in the field of adaptive filters. Finally, the effect of decision feedback equalizer to improve the system is presented. The RLS algorithm repeatedly minimizes a weighted linear least squares value of the error and therefore, it is known for its excellent high convergence performance in time varying environments. The drawback of this algorithm is the computational complexity and stability problem. The simulation work related to this adaptive filter is performed by MATLAB software.