A Hybrid NLMS/RLS Algorithm to Enhance the Beamforming Process of Smart Antenna Systems

Abstract

Adaptive beamforming algorithm is a signal processing technique used by smart antenna system to steer the main beam toward the desired signal direction and cancel the interfering signals of other directions. This paper proposes a hybrid non-blind beamforming algorithm that combines the Normalized Least Mean Square (NLMS) algorithm and the Recursive Least Square (RLS) algorithm to exploit the advantages of both algorithms and avoid their drawbacks. The hybrid NLMS/RLS algorithm solves many problems of the other non-blind algorithms. A comparative study between the proposed algorithm and other non-blind beamforming algorithms is introduced to illustrate the points of strength of the proposed algorithm. The hybrid NLMS/RLS algorithm is applied to different types of patch array antenna with resonance frequency 10GHz to demonstrate the performance of the proposed algorithm to each array antenna type.