Control of adaptive rectangular antenna arrays using Particle Swarm Optimization

This paper studies the effectiveness of the Particle Swarm Optimization (PSO) technique in controlling adaptive antenna arrays. The PSO uses the Signal-to-Interference-plus-Noise Ratio in its fitness function to find a set of array weights that configure a rectangular array to effectively maximize the power towards a desired direction and avoid direction of interferers. The presented experiments show that the PSO is capable of solving the problem using less number of fitness function evaluations than a standard Genetic Algorithm. Moreover, the gain levels in the direction of nulls are calculated and it is shown that the PSO obtains better values for the same number of iterations.