Synthesis of time modulated linear antenna arrays using particle swarm optimization

In this paper time modulation technique is implied to linear antenna array. The evolutionary optimization algorithm like real coded genetic algorithm (RGA) and particle swarm optimization (PSO) is used to get the optimal radiation pattern by controlling the switching time sequence of each element of the array. The time modulation period is divided into numerous minimal time steps, where the ON-OFF status for each time step is optimized by evolutionary algorithms. The side lobe level of time modulated linear antenna arrays can be reduced significantly by optimal switching time sequence of each element. The approach is illustrated through 16 element time modulated linear antenna arrays. Various results are presented to show the advantages of this approach considering maximal side lobe level reduction.