AN ADAPTIVE BEAMFORMER UTILIZING BINARY BAT ALGORITHM FOR ANTENNA ARRAY PATTERN NULLING

Abstract

In this paper, we propose an adaptive beamformer based on a binary bat
algorithm (BBA) for pattern nulling of uniformly linear array (ULA) antennas. The
optimized array pattern is obtained by controlling the phase of each array
excitation weight. Several scenarios have been conducted to evaluate the
performance of the proposal including convergence speed and pattern nulling
ability. The simulation results show that proposed beamformer is able to
precisely impose nulls at arbitrary directions of interferences while suppressing
sidelobes and maintaining the main lobe. Furthermore, the proposal is faster and
more efficient than binary particle swarm optimization (BPSO)-based one with
respect to pattern nulling in array pattern synthesis.