A NOVEL ADAPTIVE BEAMFORMING TECHNIQUE APPLIED ON LINEAR ANTENNA ARRAYS USING ADAPTIVE MUTATED BOOLEAN PSO

TLDR

The study introduces a new optimization technique for adaptive beamforming of linear antenna arrays, aiming to estimate excitation weights for desired and interference signals arriving from specified directions. The authors propose Adaptive Mutated Boolean PSO, a Boolean‑based PSO variant that employs an efficient adaptive mutation process, optimizes excitation weights without using the interference correlation matrix, and incorporates additive Gaussian noise. When applied to uniform linear arrays with varying element spacing and noise levels, AMBPSO demonstrated promising performance for smart antenna applications.

Abstract

The present work introduces a new optimization technique suitable for adaptive beamforming of linear antenna arrays. The proposed technique is a new PSO variant called Adaptive Mutated Boolean PSO (AMBPSO) where the update formulae are implemented exclusively in Boolean form by using an e-ciently adaptive mutation process. The AMBPSO aims at estimating the excitation weights applied on the array elements considering that a desired signal and several interference signals are received by the array at respective directions of arrival. In order to exhibit the robustness of the technique, the optimization process does not take into account the interference correlation matrix. A certain power level of additive Gaussian noise is also considered by the technique. The AMBPSO has been applied in several cases of uniform linear antenna arrays with difierent spacing between adjacent elements and difierent noise power level and therefore seems to be quite promising in the smart antenna technology.