Optimisation of Adaptive Antenna Array Performance Using Particle Swarm Algorithm

Smart antenna represents one of the promising technology in the Fourth Generation (4G) and other future cellular wireless communication systems due to its capabilities to provide high capacity and coverage with the use of the allocated RF spectrum. This paper discusses, the potential of Particle Swarm Optimization (PSO) algorithm in adaptive pattern synthesis of the linear antenna array systems. The validity of the PSO algorithm in distinguishing between the desired signal and interferers is tested through considering uniform and non-uniform spaced linear array. The PSO is used to optimise the interspace between array elements at which maximum directivity is achieved. The simulations confirmed that smart system performance improvement in term of directivity, sidelobe level reduction and HPBW could be achieved through the use of PSO algorithm.