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基于高斯逼近的周期和非周期天线阵列综合:方法综述与设计准则。

Gaussian Approach for the Synthesis of Periodic and Aperiodic Antenna Arrays: Method Review and Design Guidelines.

机构信息

Department of Engineering and Architecture, University of Trieste, Via A. Valerio 10, 34127 Trieste, Italy.

出版信息

Sensors (Basel). 2021 Mar 27;21(7):2343. doi: 10.3390/s21072343.

DOI:10.3390/s21072343
PMID:33801730
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8036400/
Abstract

This paper presents a complete overview of the recently developed Gaussian approach for the synthesis of both periodic and aperiodic linear antenna arrays in conjunction with an exhaustive numerical investigation of the achievable performance. The position and excitation synthesis problems are jointly modeled to enable a direct mutual comparison between the two strategies. To this aim, different parameter settings are selected to analyze the results in terms of achieved beamwidth and maximum sidelobe levels as a function of the array aperture and of the number of radiating elements. The insights inferred from this numerical investigation are exploited to derive a novel first-step procedure with the purpose of enabling an antenna engineer to quickly identify the most suitable design approach, thus reducing the time required for antenna system development.

摘要

本文全面介绍了最近开发的用于合成周期性和非周期性线性天线阵列的高斯方法,并对可实现的性能进行了详尽的数值研究。位置和激励综合问题被联合建模,以实现两种策略之间的直接相互比较。为此,选择不同的参数设置来分析波束宽度和最大旁瓣电平作为阵列孔径和辐射单元数量的函数的结果。从这项数值研究中得出的见解被用来推导出一种新的第一步程序,目的是使天线工程师能够快速识别最合适的设计方法,从而减少天线系统开发所需的时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eaea/8036400/07f99168977a/sensors-21-02343-g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eaea/8036400/07f99168977a/sensors-21-02343-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eaea/8036400/de5e1df1b9e0/sensors-21-02343-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eaea/8036400/07f99168977a/sensors-21-02343-g008.jpg

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Beamforming Optimization in Internet of Things Applications Using Robust Swarm Algorithm in Conjunction with Connectable and Collaborative Sensors.结合可连接和协作传感器,使用鲁棒群算法的物联网应用中的波束形成优化
Sensors (Basel). 2020 Apr 6;20(7):2048. doi: 10.3390/s20072048.
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MOM/GA-Based Virtual Array for Radar Systems.用于雷达系统的基于MOM/GA的虚拟阵列
Sensors (Basel). 2020 Jan 28;20(3):713. doi: 10.3390/s20030713.
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3D Radiation Pattern Reconfigurable Phased Array for Transmission Angle Sensing in 5G Mobile Communication.用于 5G 移动通信中传输角度感测的 3D 辐射模式可重构相控阵。
Sensors (Basel). 2018 Nov 30;18(12):4204. doi: 10.3390/s18124204.