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基于等间距线性阵列中实际形状波束的多种解决方案。

Multiple Solutions Starting from Real Shaped Beams in Equispaced Linear Arrays.

作者信息

Salas-Sánchez Aarón Ángel, López-Castro Camilo, Rocca Paolo, Rodríguez-González Juan Antonio, López-Martín María Elena, Ares-Pena Francisco José

机构信息

ELEDIA@UniTN, Department of Information Engineering and Computer Science (DISI), University of Trento, 38122 Trento, Italy.

CRETUS Institute, Department of Applied Physics, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain.

出版信息

Sensors (Basel). 2020 Dec 24;21(1):62. doi: 10.3390/s21010062.

DOI:10.3390/s21010062
PMID:33374347
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7795107/
Abstract

In the present work, the theoretical basis of the multiplicity of solutions obtained from an initial real symmetric distribution is derived. This initial solution is devoted to generating an equivalent pure real shaped-beam pattern for a concrete synthesis scenario. However, these new solutions are not based on real symmetric distributions; hence, not based on the generation of pure real patterns. The bandwidth performances and tolerance to errors provided by the multiple solutions in the array design are analyzed by considering different architectures, also including mutual coupling models and element factor expressions due to accuracy purposes. In addition, a technique to obtain efficient linear arrays by designing resonant structures is addressed. Examples involving both standard linear arrays of half-wavelength cylindrical dipoles and resonant linear arrays generating flat-top beam patterns are reported and discussed. Additionally, an extension to planar arrays performed by means of a generalisation of the Baklanov transformation through collapsed distribution techniques inspired in the well-known method devised by Tseng and Cheng is performed. In such a way, an analysis of the quality of solutions for generating circular and elliptical footprints with controlled both SLL and ripple which are highly interesting in the framework of space vehicle applications.

摘要

在本工作中,推导了从初始实对称分布获得的多个解的理论基础。这个初始解致力于为具体的合成场景生成等效的纯实形状波束方向图。然而,这些新解并非基于实对称分布;因此,也不是基于纯实方向图的生成。通过考虑不同架构,包括互耦模型和出于精度目的的单元因子表达式,分析了阵列设计中多个解所提供的带宽性能和误差容限。此外,还介绍了一种通过设计谐振结构来获得高效线性阵列的技术。报告并讨论了涉及半波长圆柱形偶极子标准线性阵列和生成平顶波束方向图的谐振线性阵列的实例。此外,通过对Baklanov变换进行推广,借助受曾和程所设计的著名方法启发的折叠分布技术,对平面阵列进行了扩展。通过这种方式,分析了在航天器应用框架中生成具有可控旁瓣电平(SLL)和纹波的圆形和椭圆形覆盖区的解的质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/00c732f79de8/sensors-21-00062-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/cf3793faad49/sensors-21-00062-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/686ee31cf532/sensors-21-00062-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/d69f5797432c/sensors-21-00062-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/96eb109fbbb4/sensors-21-00062-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/f2fbbec4a7c5/sensors-21-00062-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/10111655e8bb/sensors-21-00062-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/d33802ddabbb/sensors-21-00062-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/4f644aa94ba5/sensors-21-00062-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/f08b34f39ac5/sensors-21-00062-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/851ea224d9b4/sensors-21-00062-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/13340def10f6/sensors-21-00062-g011a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/30b45f8bd406/sensors-21-00062-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/427641346b0a/sensors-21-00062-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/f78904824f20/sensors-21-00062-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/00c732f79de8/sensors-21-00062-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/cf3793faad49/sensors-21-00062-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/686ee31cf532/sensors-21-00062-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/d69f5797432c/sensors-21-00062-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/96eb109fbbb4/sensors-21-00062-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/f2fbbec4a7c5/sensors-21-00062-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/10111655e8bb/sensors-21-00062-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/d33802ddabbb/sensors-21-00062-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/4f644aa94ba5/sensors-21-00062-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/f08b34f39ac5/sensors-21-00062-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/851ea224d9b4/sensors-21-00062-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/13340def10f6/sensors-21-00062-g011a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/30b45f8bd406/sensors-21-00062-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/427641346b0a/sensors-21-00062-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/f78904824f20/sensors-21-00062-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/595f/7795107/00c732f79de8/sensors-21-00062-g015.jpg

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