稀布阵能够以较少的天线单元,通过稀布的方式和先进的处理算法获得与传统等间距阵相当的孔径效能,降低了系统的硬件成本,具有灵活布置的优点、重要的研究意义和应用价值。稀布阵与同口径满布阵相比副瓣电平较高。文中提出了一种基于自适应遗传算法的稀布阵列综合优化方法。该算法采用实值编码方式,引入自适应遗传算子,有效提高了优化效率,避免陷入个体早熟及局部收敛,得到了更低的副瓣电平。给出了具体实现步骤以及仿真实例,结果表明,采用自适应遗传算法,得到了更低的稀布阵天线副瓣电平。 Stroke array can obtain the equivalent aperture performance of the traditional equidistant array with fewer antenna elements, thinner ways and advanced processing algorithms, reduces the hardware cost of the system, has the advantages of flexible arrangement, important research significance and Value. Slightly array with the same caliber cloth array full sidelobe level is higher. In this paper, a comprehensive optimization method of fabric array based on adaptive genetic algorithm is proposed. The algorithm uses real-valued coding, introducing adaptive genetic operators, effectively improve the optimization efficiency, to avoid falling into the premature and local convergence of individuals, resulting in lower sidelobe level. The specific implementation steps and simulation examples are given. The results show that the SAWL level is obtained by adaptive genetic algorithm.