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1. 摩比天线技术(深圳)有限公司,广东 深圳 518057
2. 中国联合网络通信有限公司广东省分公司,广东 广州 510630
[ "黄建军(1962- ),男,摩比天线技术(深圳)有限公司首席专家、高级工程师,主要研究方向为基站天线、天线测量。" ]
[ "黄晓明(1966- ),男,中国联合网络通信有限公司广东省分公司教授级高级工程师,主要研究方向为移动通信无线网络架构、无线干扰和天线射频技术等。" ]
网络出版日期:2019-07,
纸质出版日期:2019-07-20
移动端阅览
黄建军, 黄晓明. 5G移动通信特殊成形基站天线设计[J]. 电信科学, 2019,35(7):47-51.
Jianjun HUANG, Xiaoming HUANG. Special antenna beamforming method for 5G mobile communication system[J]. Telecommunications science, 2019, 35(7): 47-51.
黄建军, 黄晓明. 5G移动通信特殊成形基站天线设计[J]. 电信科学, 2019,35(7):47-51. DOI: 10.11959/j.issn.1000-0801.2019186.
Jianjun HUANG, Xiaoming HUANG. Special antenna beamforming method for 5G mobile communication system[J]. Telecommunications science, 2019, 35(7): 47-51. DOI: 10.11959/j.issn.1000-0801.2019186.
针对5G大范围覆盖的应用场景进行了设计探讨,提出通过对基站天线垂直面进行余割平方成形、以保证大范围覆盖应用场景下信号的均匀性的方法。首先通过算法推导,证明余割平方成形的功率辐射波束可满足5G信号均匀覆盖的要求;其次,采用约束最优化方法,把天线的方向性系数作为目标函数,把指定区域的波束电平作为约束函数,求解基站天线辐射单元的权值,得到满足余割平方成形的辐射方向图。在MATLAB环境下开发了实现此算法的程序。本文的创新之处在于用实际的单元方向图和约束最优化方法,在保证天线增益最优的前提下,综合出需要线阵列天线方向图。引入仰角单元与其他正常单元一起综合方向图,解决顶盲问题,是这个方法的一个应用实例。最后,仿真验证该方法,并设置场景对应用余割平方成形的天线与常规天线的信号覆盖进行比较,证明该方法对信号均匀性有极大的改善。
A method was researched to ensure the uniformity of RX signals in long-distance coverage for 5G applications. In this situation
the antenna pattern model was critical. Firstly
the cosecant-squared shaped beam pattern meets the requirement of uniform coverage through the derivation. Secondly
by constrained optimization algorithm
antenna directivity was taken as objective function
the beam level of specified range was taken as constraint function
to solve the weight parameter of the linear array elements
and the cosecant square pattern could be obtained. MATLAB program completed to realize the algorithm. The innovation was based on constrained optimization algorithm
the real elements patterns were imported
even elevation angle element was proposed in this solution to solve the top blind problem. Finally
the signal level coverage area was compared with which do not have beamforming
it has been shown that cosecant-squared beamforming model can improve the signal uniformity obviously.
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