Synthesis of Adaptive Antenna Array using Exponentially Weighted Recursive Least Square Algorithm

Abstract

Objective: Beam shaping is a powerful means to increase the capacity of antenna system in wireless communication for better transmission and reception of signal. Methods /Analysis: In this paper, an adaptive array arrangement is developed to improve beam shaping for better synthesis of antenna array system. The adaptive algorithm used here is exponentially weighted Recursive Least Square (RLS) algorithm which measures the correction weights by its own optimization which prevents the large inversion correlation matrix. Here the array of n antenna is connected to the adaptive controller which will take the decision whether the beam should access at a specific time. Novelty/Improvements: The convergence rate of mean square error is better here and the performance of RLS algorithm is better when compared to LMS algorithm. Proper beam formation can occur by using this method.