A Combined DMI–RLS Algorithm in Adaptive Processing Antenna System

Abstract

Smart antenna systems are rapidly emerging as one of the key technologies that can enhance overall wireless communications system performance. The purpose of this paper is to develop a novel adaptive beamforming system from two adaptive algorithms that are known in the literature as spatial filters. Our adaptive beamforming algorithm is a combination of the direct matrix inversion (DMI) and the recursive least square (RLS). This combination is called DMI–RLS and is used to calculate iteratively the optimum weights of smart antenna array and to ensure a possible faster convergence. Simulation data used for a uniform linear array antenna as an application verifies the accuracy of the analytical results. The performance of the DMI–RLS algorithm is also compared with the conventional RLS algorithm ones. From the simulation results, we noticed that, in the main, the performances of the DMI–RLS algorithm are sturdier than those of the conventional RLS algorithm.