| 稀布同心圆环阵列的半径优化方法 |
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| 引用本文： | 陈客松,朱永芸,倪霄龙.稀布同心圆环阵列的半径优化方法[J].电波科学学报,2016,31(1):110-115. |
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| 作者姓名： | 陈客松 朱永芸 倪霄龙 |
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| 作者单位： | 电子科技大学电子工程学院, 成都 611731 |
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| 基金项目： | 国家自然科学基金(U1233103) |
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| 摘 要： | 针对有阵列孔径阵元总数和最小阵元间距约束的稀布同心圆环阵列综合问题, 提出了一种基于修正遗传算法(Modified real Genetic Algorithm, MGA)的半径优化方法.通过约束同一圆环上阵元间距相等, 利用MGA优化圆环的半径, 获得最小的峰值旁瓣电平.该方法不仅降低了优化的计算量和模型的复杂性, 而且还有效地改善了阵列的旁瓣性能.仿真结果证明了该方法的有效性和鲁棒性.
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| 关 键 词： | 稀布同心圆环阵列 修正遗传算法 旁瓣性能 |
| 收稿时间： | 2015-04-03 |
Optimum method of grid ring radii of sparse concentric rings array |
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| Affiliation: | School of Electronic Engineering, University of Electronic science and Technology of China, Chengdu 611731, China |
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| Abstract: | An optimization method of grid ring radii based on modified genetic algorithm is presented under the constraints of fixing the aperture, the number of elements and the minimum element spacing. We make element spacing on the same ring equal, and make use of modified genetic algorithms(MGA) to optimize grid radii to minimize peak sidelobe level. The proposed method can improve performance of sidelobe level(SLL) of the sparse concentric ring arrays and can meanwhile relatively reduce computational cost. Finally, the simulation results confirm the great efficiency and robustness. |
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| Keywords: | sparse concentric rings array modified genetic algorithms(MGA) sidelobe level(SLL) |
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