两级递阶遗传算法优化稀布直线阵列  

Optimization of Thinned Linear Arrays Based on THGA

作　　者：陈大昊[1] 张剑云[1] 邓鹏飞[1] 

机构地区：[1]解放军电子工程学院,安徽合肥230037

出　　处：《计算技术与自动化》2005年第4期58-60,共3页Computing Technology and Automation

摘　　要：非均匀稀布直线阵列通常具有较高的旁瓣,为了降低旁瓣,对传统遗传算法进行改进用于阵列优化。为了更好的解决早熟收敛问题,利用两级递阶遗传算法THGA(Two-level Hierarchic Genetic Algorithm)在各阵列电流激励幅度相同的情况下对阵元位置进行了优化,最大旁瓣降低至-15.2498dB。在各阵列电流激励幅度不同的情况下,提出了“微调”“粗调”的思想对激励和阵元位置同时进行优化。仿真结果表明,对于一个孔径为50λ的25个阵元组成的稀布直线阵列,可获得了更低的旁瓣,最大旁瓣可降至-22.5955dB。Unequally spaced linear arrays are characterized by high side lobes. To reduce the high side lobes, traditional genetic algorithm is modified to optimize the elements in the array To settle the convergence,THGA（Two - level Hierarchic Genetic Algorithm） is used to optimize the position of elements in the array in the ease of the same amplitude of the each array＇s current . the maximum relative sidelobe was reduced to- 15. 2498dB. A thinking of “slight - adjusting” and “thick - adjusting”is raised to optimize the position of elements and the current at the same time. with the differenr amplitude of the each array＇s current . Simulation indicates that a better result can be obtained for a 25 - element array over an aperture of 50λ . the maximum relative sidelobe could be reduced to - 22. 5955dB.

关 键 词：两级递阶遗传算法 稀布直线阵列 优化 旁瓣 

分 类 号：TP823[自动化与计算机技术—检测技术与自动化装置]