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基于电磁仿真的车辆天线特征分析中的差分成像

On Differential Imaging Using Electromagnetic Simulation for Vehicular Antenna Signature Analysis.

作者信息

Solano-Perez Jose Antonio, Martínez-Inglés María-Teresa, Molina-Garcia-Pardo Jose-Maria, Romeu Jordi, Jofre-Roca Lluis, Ballesteros-Sánchez Christian, Rodríguez José-Víctor, Mateo-Aroca Antonio, Guzmán-Quirós Raúl

机构信息

Departamento Tecnologías de la Información y las Comunicaciones, Universidad Politécnica de Cartagena, Cartagena, 30202 Murcia, Spain.

Centro Universitario de la Defensa, Universidad Politécnica de Cartagena, Base Aérea de San Javier, Academia General del Aire, 30720 Murcia, Spain.

出版信息

Sensors (Basel). 2021 May 30;21(11):3796. doi: 10.3390/s21113796.

DOI:10.3390/s21113796
PMID:34070879
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8198640/
Abstract

The current trend in vehicles is to integrate a wide number of antennae and sensors operating at a variety of frequencies for sensing and communications. The integration of these antennae and sensors in the vehicle platform is complex because of the way in which the antenna radiation patterns interact with the vehicle structure and other antennae/sensors. Consequently, there is a need to study the radiation pattern of each antenna or, alternatively, the currents induced on the surface of the vehicle to optimize the integration of multiple antennae. The novel concept of differential imaging represents one method by which it is possible to obtain the surface current distribution without introducing any perturbing probe. The aim of this study was to develop and confirm the assumptions that underpin differential imaging by means of full-wave electromagnetic simulation, thereby providing additional verification of the concept. The simulation environment and parameters were selected to replicate the conditions in which real measurements were taken in previous studies. The simulations were performed using Ansys HFSS simulation software. The results confirm that the approximations are valid, and the differential currents are representative of the induced surface currents generated by a monopole positioned on the top of a vehicle.

摘要

当前车辆的发展趋势是集成大量工作在各种频率下用于传感和通信的天线及传感器。由于天线辐射方向图与车辆结构以及其他天线/传感器相互作用的方式，将这些天线和传感器集成到车辆平台中很复杂。因此，有必要研究每个天线的辐射方向图，或者研究车辆表面感应的电流，以优化多个天线的集成。差分成像这一新颖概念代表了一种无需引入任何干扰探头就能获取表面电流分布的方法。本研究的目的是通过全波电磁仿真来发展并验证支撑差分成像的假设，从而为该概念提供额外的验证。选择仿真环境和参数以复制先前研究中进行实际测量的条件。使用Ansys HFSS仿真软件进行仿真。结果证实这些近似是有效的，并且差分电流代表了位于车辆顶部的单极天线产生的感应表面电流。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/9f8af38f2b6d/sensors-21-03796-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/74edc3ad6923/sensors-21-03796-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/4e520c0157d1/sensors-21-03796-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/d21676eadfa5/sensors-21-03796-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/64863a981c58/sensors-21-03796-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/ca9745e266c5/sensors-21-03796-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/20f1f36d9614/sensors-21-03796-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/36cce897cf97/sensors-21-03796-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/729da5659762/sensors-21-03796-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/3bc01e415bb5/sensors-21-03796-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/9f8af38f2b6d/sensors-21-03796-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/74edc3ad6923/sensors-21-03796-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/19de45527bba/sensors-21-03796-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/efc16feb6f95/sensors-21-03796-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/78e7be553f24/sensors-21-03796-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/4e520c0157d1/sensors-21-03796-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/d21676eadfa5/sensors-21-03796-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/64863a981c58/sensors-21-03796-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/ca9745e266c5/sensors-21-03796-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/20f1f36d9614/sensors-21-03796-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/36cce897cf97/sensors-21-03796-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/729da5659762/sensors-21-03796-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/3bc01e415bb5/sensors-21-03796-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e7/8198640/9f8af38f2b6d/sensors-21-03796-g013.jpg

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