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题名: Power-pattern synthesis for energy beamforming in wireless power transmission
作者: Sun Geng; Liu Yanheng; Li Han; Li Jionghui; Wang Aimin; Zhang Ying
作者部门: 空间技术部
通讯作者: Zhang, Ying (yzhang@gatech.edu)
刊名: Neural Computing and Applications
ISSN号: 0941-0643
出版日期: 2017
页码: 1-16
收录类别: SCI ; EI
英文摘要: 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
语种: 英语
内容类型: 期刊论文
URI标识: http://ir.nssc.ac.cn/handle/122/6075
Appears in Collections:空间技术部_期刊论文

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Recommended Citation:
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.
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