Study on Optimize Efficiency of Particle Swarm Optimization for the Synthesis of Subarrayed Arrays

Antenna arrays have received significant attention of the researchers, since they find a wide-range of application in microwave technology such as communication and radar. In the past years, there has been a great interest in the design of antenna arrays using optimization algorithms, particularly derivative-free, evolutionary algorithms such as ant colony algorithm, particle swarm optimization (PSO), and genetic algorithms. However, the optimization efficiency of large antenna arrays and two-dimension antenna arrays is low. In this paper, subarrayed array antennas with the definition of the elements clustering into spatially contiguous subarrays and the corresponding weights to obtain the same sidelobe level pattern with the unsubarrayed antenna array are optimized via the modern heuristic particle swarm optimization technique. The problem is discussed through comparing the efficiency of PSO in the subarrayed array antennas with that in unsubarrayed antenna array. A set of representative results concerned with difference subarray element numbers and amplitude distributions are shown to compare the performance of PSO. Also, the PSO method for subarrayed array can be extended to two-dimension antenna arrays.