The invention discloses a multi-objective optimization array
pattern synthesis method based on an improved
genetic algorithm, and belongs to the field of
antenna array pattern synthesis. According to the method, the
genetic algorithm is improved and optimized, and in order to avoid
local convergence and prevent close-to-close combination, the
Hamming distance is introduced to carry out close-to-close discrimination; in order to improve the convergence speed and ensure that an excellent mode in a
parent body can be inherited to the next generation, the size of a
crossover operator is adaptively determined according to the fitness. According to the method, a mutual
coupling effect between array elements is considered, an active unit directional diagram is combined, an accurate
antenna array model is constructed, different
fitness function parameters are set for different
target array directional diagrams, and an improved
genetic algorithm is used for performing multi-target rapid optimization on the
antenna array directional diagrams; finally, array synthesis such as
beam broadening, low sidelobe, beam null,
phased array scanning and the like is realized, and
verification is carried out through full-wave
electromagnetic simulation software.