| 基于离网格结合粒子群算法的稀疏阵列综合 |
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| 引用本文： | 何向翎,杨鹏,闫飞,杨峰,董涛.基于离网格结合粒子群算法的稀疏阵列综合[J].电波科学学报,2016,31(3):473-478. |
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| 作者姓名： | 何向翎 杨鹏 闫飞 杨峰 董涛 |
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| 作者单位： | 1.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(61301056)，霍英东教育基金(141062)，中央高校基本业务费项目(ZYGX2014J012)，教育部博士点基金(20120185120004)，航空基金(20142580012)，天地一体化信息技术国家重点实验室(筹)创新基金(2014_CXJJ-TX_04) |
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| 摘 要： | 针对大型稀疏阵列未知期望方向图的综合问题, 提出了一种基于离网格结合粒子群算法的方法综合稀布阵列单元位置以使增益最大化.该方法在粒子群算法的基础上, 再次在网格单元中进行梯度寻优, 能快速找到增益最大时对应的阵元位置且无需已知期望方向图.该算法对稀疏阵列综合效果良好, 增益提升显著且扫描过程中栅瓣抑制良好.通过对综合结果进行HFSS全波仿真对比, 数值仿真结果与综合结果基本一致, 证明了该方法的正确性.
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| 关 键 词： | 离网格技术 粒子群算法 平面微带阵列 增益 栅瓣抑制 |
| 收稿时间： | 2015-07-09 |
Sparse array synthesis based on off-grid with particle swarm optimization algorithm |
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| Affiliation: | 1.School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China2.Space Star Technology Co. Ltd, State Key Laboratory of Space-Ground Integrated Information Technology, Beijing 100086, China |
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| Abstract: | Aiming at the problem of large sparse array antenna synthesis without the knowledge of the expected pattern, a method based on off-grid with particle swarm optimization(PSO) to synthesize the position of sparse array antenna to maximize the gain of array is proposed in this paper. Based on the algorithm of PSO, this method carries on the Gradient searching again in the grid cell and finds the position of array unit rapidly when the gain of array is maximum without the knowledge of the expected pattern. The effect of synthesizing the sparse array by this method is fine and the improvement of gain is obvious without grating lob while scanning. The result of HFSS full wave simulation agrees well with the synthetic result, and thus, the validity of this method is proved. |
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| Keywords: | off-grid particle swarm optimization(PSO) square array of microstrip antenna gain grating lob suppression |
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