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题名: Sidelobe reduction of large-scale antenna array for 5G beamforming via hierarchical cuckoo search
作者: Sun, Geng; Liu, Yanheng; Li, Jionghui; Zhang, Ying; Wang, Aimin
作者部门: 空间技术部
通讯作者: Zhang, Ying (yzhang@gatech.edu)
刊名: Electronics Letters
ISSN号: 0013-5194
出版日期: 2017
卷号: 53, 期号:16, 页码:1158-1160
收录类别: EI
英文摘要: Large-scale antenna array (LSAA) is one of the key factors as well as a fundamental technology in fifth generation wireless communication systems. Beampattern sidelobe (SL) suppressing is a complex nonlinear optimisation problem, especially for LSAAs, because of the high-dimensional solution space. A SL reduction method for LSAA based on a hierarchical cuckoo search (HCS) algorithm is proposed. HCS divides the candidate solutions into different levels to improve population utilisation, so that it is suitable for dealing with large-scale elements. The effectiveness of the proposed method for synthesis of the beampattern of LSAA is verified by theoretical and EM simulations. © The Institution of Engineering and Technology 2017.
语种: 英语
内容类型: 期刊论文
URI标识: http://ir.nssc.ac.cn/handle/122/6031
Appears in Collections:空间技术部_期刊论文

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