Abstract
This paper presents particle swarm optimization (PSO) algorithm to optimize the position of sparse arrays. Under the condition that the aperture is 34 wavelength and the number of array elements is 35, we compared the optimization results of the side lobe level of the array by genetic algorithm (GA) with that by PSO. The simulation results show that PSO algorithm has better effect than GA.
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