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增加副瓣抑制机制的阵列天线波束赋形遗传算法研究

郑占旗 阎跃鹏 张立军 王宇灏 张金玲 慕福奇

郑占旗, 阎跃鹏, 张立军, 王宇灏, 张金玲, 慕福奇. 增加副瓣抑制机制的阵列天线波束赋形遗传算法研究[J]. 电子与信息学报, 2017, 39(3): 690-696. doi: 10.11999/JEIT160466
引用本文: 郑占旗, 阎跃鹏, 张立军, 王宇灏, 张金玲, 慕福奇. 增加副瓣抑制机制的阵列天线波束赋形遗传算法研究[J]. 电子与信息学报, 2017, 39(3): 690-696. doi: 10.11999/JEIT160466
ZHENG Zhanqi, YAN Yuepeng, ZHANG Lijun, WANG Yuhao, ZHANG Jinling, MU Fuqi. Research on Genetic Algorithm of Antenna Arrays Beam Shaping with Side Lobe Suppression[J]. Journal of Electronics & Information Technology, 2017, 39(3): 690-696. doi: 10.11999/JEIT160466
Citation: ZHENG Zhanqi, YAN Yuepeng, ZHANG Lijun, WANG Yuhao, ZHANG Jinling, MU Fuqi. Research on Genetic Algorithm of Antenna Arrays Beam Shaping with Side Lobe Suppression[J]. Journal of Electronics & Information Technology, 2017, 39(3): 690-696. doi: 10.11999/JEIT160466

增加副瓣抑制机制的阵列天线波束赋形遗传算法研究

doi: 10.11999/JEIT160466

Research on Genetic Algorithm of Antenna Arrays Beam Shaping with Side Lobe Suppression

  • 摘要: 基于遗传算法的激励优化算法是求解阵列天线波束赋形问题时常用的激励求解算法。传统遗传算法在优化阵列天线激励时,对阵元天线方向图矢量叠加获得阵列天线合成方向图后,与目标方向图做相似度判断,经过多次运算获得满足设计要求的激励值。然而算法中通常不关注赋形结果的副瓣抑制,导致阵列天线波束赋形结果副瓣抑制效果不理想。该文提出一种基于一组低副瓣波束线性叠加的波束合成机制,将合成方向图与目标方向图做相似对比,结合遗传算法的优化求解方法,最终获得与目标方向图匹配的合成方向图,且合成方向图具有高副瓣抑制的特性。以一款16阵元 波段微带偶极子线性阵列天线为例,该文提出的具有副瓣抑制机制的遗传算法求得的赋形波束获得了-27.5 的副瓣抑制效果,远远好于传统遗传算法求得的赋形波束-19 的副瓣抑制。
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出版历程
  • 收稿日期:  2016-05-09
  • 修回日期:  2016-12-07
  • 刊出日期:  2017-03-19

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