| Power-pattern synthesis for energy beamforming in wireless power transmission | |
| Sun Geng; Liu Yanheng; Li Han; Li Jionghui; Wang Aimin; Zhang Ying; Zhang, Ying (yzhang@gatech.edu) | |
| 作者部门 | 空间技术部 |
| 发表期刊 | Neural Computing and Applications
 |
| 2017 | |
| 页码 | 1-16 |
| ISSN | 0941-0643 |
| 语种 | 英语 |
| 摘要 | This paper proposed a power-pattern optimization method for suppressing the maximum side lobe level outside of the collection region (CSL) of energy beamforming for wireless power transmission based on the biogeography-based optimization with local search (BBOLS). Two improved components, local search operator and selection operator, are introduced into the normal biogeography-based optimization to improve the performance of the algorithm. These two introduced factors can significantly help the algorithm to improve the convergence rate, prevent the candidate solutions from being trapped into the local optimum. Simulation results show that the CSL of the planar antenna array obtained by BBOLS can be depressed effectively while the beam collection efficiency can be enhanced. Moreover, the accuracy and the convergence rate of BBOLS are better than other algorithms. In addition, the power-pattern performance obtained by BBOLS is also verified by the electromagnetic simulations. © 2017 The Natural Computing Applications Forum |
| 收录类别 | SCI ; EI |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.nssc.ac.cn/handle/122/6075 |
| 专题 | 空间技术部 |
| 通讯作者 | Zhang, Ying (yzhang@gatech.edu) |
| 推荐引用方式 GB/T 7714 | Sun Geng,Liu Yanheng,Li Han,et al. Power-pattern synthesis for energy beamforming in wireless power transmission[J]. Neural Computing and Applications,2017:1-16. |
| APA | Sun Geng.,Liu Yanheng.,Li Han.,Li Jionghui.,Wang Aimin.,...&Zhang, Ying .(2017).Power-pattern synthesis for energy beamforming in wireless power transmission.Neural Computing and Applications,1-16. |
| MLA | Sun Geng,et al."Power-pattern synthesis for energy beamforming in wireless power transmission".Neural Computing and Applications (2017):1-16. |
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| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| 2017s00521-017-3255-（2803KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 请求全文 | |
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