An Approximate Method for Calculating the Near-Field Mutual Coupling Between Line-of-Sight Antennas on Vehicles
An Approximate Method for Calculating the Near-Field Mutual Coupling Between Line-of-Sight Antennas on Vehicles
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DOI：
10.1109/tap.2015.2447003
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发表时间：
2015-06
影响因子：
5.7
通讯作者：
H. Frid;H. Holter;B. Jonsson
中科院分区：
文献类型：
--
作者：
H. Frid;H. Holter;B. Jonsson
由于结构的电气尺寸，使用全波模拟计算车辆上天线之间的互耦需要大量的计算机资源。因此，我们提出了一种替代和近似的方法来确定车辆上的天线之间的互耦的情况下，有视线（LOS）之间的天线。所提出的方法是基于近似的车辆上的LOS天线之间的互耦天线之间的近场传输在自由空间。我们开始的分析与四种方法计算近场自由空间传输的简要回顾。在所研究的方法中，我们证明了Yaghjian（1982）最初提出的近场传输积分的非奇异形式最适合于车辆上的LOS天线。我们介绍了一种修改这种方法，为了只使用天线的远场和几何分离，以确定互耦。与全波仿真结果的比较表明，该方法对视距天线具有较好的精度。本文最后与全尺寸的互耦计算两个单极子在LOS条件下的飞机上，展示了6 dB的均方根（rms）的精度为5 GHz的频率，相比，全波模拟。
Calculating the mutual coupling between antennas on vehicles using full-wave simulations requires a vast amount of computer resources due to the electrical size of the structures. We therefore propose an alternative and approximate method to determine mutual coupling between antennas on vehicles for the case where there is line-of-sight (LOS) between the antennas. The proposed method is based on approximating the mutual coupling between LOS antennas on vehicles as near-field transmission between antennas in free space. We begin the analysis with a brief review of four methods for calculating the near-field free-space transmission. Of the investigated methods, we demonstrate that a nonsingular form of the near-field transmission integral originally proposed by Yaghjian (1982) is the most suitable for LOS antennas on vehicles. We introduce a modification to this method, in order to only use the antenna far-fields and geometrical separation to determine the mutual coupling. The comparison with full-wave simulations indicates that the proposed method has a good accuracy for LOS antennas. This paper ends with a full-scale mutual coupling calculation for two monopoles on an aircraft under LOS conditions, demonstrating a root mean square (rms) accuracy of 6 dB for frequencies up to 5 GHz, as compared with full-wave simulations.