| 基于遗传退火算法的数字阵列稀疏布阵 |
| |
| 引用本文： | 代培龙,张仕元,肖文书.基于遗传退火算法的数字阵列稀疏布阵[J].航天电子对抗,2010,26(4):51-53. |
| |
| 作者姓名： | 代培龙 张仕元 肖文书 |
| |
| 作者单位： | 南京电子技术研究所,江苏南京,210039 |
| |
| 摘 要： | 应用遗传退火算法对32个数字阵列天线单元在64个位置进行了稀疏布阵，将单元间距和激励作为优化变量，在控制主瓣形状的同时，改善了阵列的副瓣电平，提供了更多的自由度来控制稀疏阵列的性能。结果表明，全局优化峰值旁瓣可低至-26dB，遗传退火算法能够避开遗传算法在搜索过程中的早熟收敛。
|
| 关 键 词： | 遗传退火算法 数字阵列 稀疏布阵 |
Synthesize the thinnned arrays based Genetic annealing algorithm |
| |
| Dai Peilong,Zhang Shiyuan,Xiao Wenshu.Synthesize the thinnned arrays based Genetic annealing algorithm[J].Aerospace Electronic Warfare,2010,26(4):51-53. |
| |
| Authors: | Dai Peilong Zhang Shiyuan Xiao Wenshu |
| |
| Institution: | (Nanjing Research Institute of Electronics Technology,Nanjing 210039,Jiangsu,China) |
| |
| Abstract: | The Genetic annealing algorithm is proposed to synthesize the thinnned arrays with 32 units in the 64 positions. As the element spacings and excitation are used as variables to control the shape of the main lobe,it provides more degree of freedom to improve the sidelobe level. A - 26 dB peak side-lobe level is gained by the proposed algorithm which can avoid premature convergence of the search process. |
| |
| Keywords: | Genetic annealing algorithm DAR thinned arrays |
| 本文献已被 维普 万方数据 等数据库收录！ |
|
