Design and optimization of liner phased array antennas with different distance based on genetic algorithm

Compared to the array antennas with the same distance, those with different distances can improve the directivity and avoid occurrence of high minor-lobes. In this paper, GA is used to optimize the minor-lobes. During the progress, the minor-lobes level is defined as the fitness function. The first null direction is estimated properly so that the modified factor is used to avoid the complication of solving the none-lined function and the results of optimization variables are gained. The performance of GA is analyzed by simulation and the results show that the minor-lobes level of the array after optimized by GA is much lower and the antenna will work well over wide band.