【摘要】 针对阵列天线性能与成本之间的矛盾关系,设计了一种高性能十字阵列,采用方位角与俯仰角波束同时对空域滤波。与平面阵列相比,保持着较高角分辨率的同时降低了阵元数量,与一般十字阵列相比,使用MIMO技术提高了系统性能;为进一步减少系统复杂性,使用免疫粒子群算法对改进十字阵列稀疏布阵,引入种群分组和模糊全局最优值的概念,降低进化过程对全局极值的依赖,保护种群多样性,更加明确进化方向。仿真结果表明,优化后的免疫粒子群算法与免疫遗传算法相比,具有更快的收敛速度,应用于改进十字阵列综合中能够得到更优的相对旁瓣电平。优化后的阵列在目标探测中具有良好的表现,能够降低系统制造成本和难易度,提高实用性和工程性。更多还原

【Abstract】 To solve the contradiction between array antenna performance and cost,a high performance cross array is designed,which uses azimuth and elevation angle beams to simultaneously filter the airspace. Compared with the planar array,the number of array elements is reduced while maintaining the higher angular resolution.Compared with general cross array,MIMO technology is used to improve the system performance. To further reduce system complexity,with the concept of grouping and fuzzy global optimal value,the immune genetic algorithm improved by particle swarm optimization( PSO-IGA) is used to spare the cross array,to reduce the dependence of the evolution process on the global extremum,to protect the diversity of the population,and to clarify the evolution direction. The simulation results show the PSO-IGA algorithm has faster convergence speed and lower sidelobe level than the immune genetic algorithm in array synthesis. In target detection,the optimized cross array has good performance,which can reduce system manufacturing cost and difficulty and improve practicality and engineering.更多还原