Performance analysis of adaptive beamforming using Particle Swarm Optimization

This paper describes how Particle Swarm Optimization (PSO) is appropriate for Adaptive Beamforming (ABF). The required direction of receiving signal is maintained by directing the major lobe. The ability of an adaptive antenna array to direct the beam is achieved by implementing a beamforming algorithm by varying the phase of the element in linear antenna array. A complete implementation of ABF using Particle Swarm Optimization technique has been proposed by building code using MATLAB software. Linear adaptive antenna array performance is calculated by simulating the beam steering ability and nullifying capability for different situation assuming the different direction of user and interferer signals.