平面稀布天线阵列的优化算法.pdf

第24 卷 第2 期 Vol. 24, N o. 2 2009 4 CHINESE JOURNAL OF RADIO SCIENCE April, 2009 1005-0388( 2009) 02-0193-07 陈客松 何子述 ( , 610054) 基于 一种改进的实数遗传算法, 以降低平面稀布阵旁 电平为优化目标, 提 出了一种综合有阵元数约束孔径约束和最小阵元间距约束的稀布面阵的新方法 与稀疏布阵相比, 该方法利用了阵元在布阵时更大的自由度, 因而在阵元数孔径和 最小阵元间距相同的条件下可以获得更优的峰值旁 性能, 仿真试验显示了改进的 实数遗传算法应用到该多约束稀布平面阵优化问题中是稳健和高效的 阵列天线; 稀布阵; 遗传算法( GA) ; 旁瓣电平; 优化布阵 + + TN 820. 1 5; TN 820. 1 3 A Synthesis approach for sparse plane arrays CHEN Ke-song HE -i shu (S chool of Electr onic Eng ineer ing , UES T C , Cheng du S ichuan 610054, China) Abstract For the element position synthesis of sparse rectangular plane arrays w ith the design constraints of the element number of, aperture and minimum element spacing, an improved genetic algorithm ( IGA) is presented in this paper. It effec- tively improves performance of GA by real valued coding of chromosome. Compared w ith the synthesis method of thinned arrays, this new approach can exploit more degree of freedom of elements to control the characters of the sparse arrays. When the aperture, element number and minimum element spacing are fixed identical, the new approach make the sparse plane array produce low er peak side lobe level ( PSLL) . The simulated results show that the approach is high efficiency and ro- bust, and can apply to problem of sparse plane antenna array synthesis w ith the constraint of minimum element spacing and aperture. Key words