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Near-Field to Far-Field RCS Prediction on Arbitrary Scanning Surfaces Based on Spherical Wave Expansion
Near-field to far-field transformation (NFFFT) is a frequently-used method in antenna and radar cross section (RCS) measurements for various applications. For weapon systems, most measurements are captured in the near-field area in an anechoic chamber, considering the security requirements for the d...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765474/ https://www.ncbi.nlm.nih.gov/pubmed/33339107 http://dx.doi.org/10.3390/s20247199 |
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author | Kim, Woobin Im, Hyeong-Rae Noh, Yeong-Hoon Hong, Ic-Pyo Tae, Hyun-Sung Kim, Jeong-Kyu Yook, Jong-Gwan |
author_facet | Kim, Woobin Im, Hyeong-Rae Noh, Yeong-Hoon Hong, Ic-Pyo Tae, Hyun-Sung Kim, Jeong-Kyu Yook, Jong-Gwan |
author_sort | Kim, Woobin |
collection | PubMed |
description | Near-field to far-field transformation (NFFFT) is a frequently-used method in antenna and radar cross section (RCS) measurements for various applications. For weapon systems, most measurements are captured in the near-field area in an anechoic chamber, considering the security requirements for the design process and high spatial costs of far-field measurements. As the theoretical RCS value is the power ratio of the scattered wave to the incident wave in the far-field region, a scattered wave measured in the near-field region needs to be converted into field values in the far-field region. Therefore, this paper proposes a near-field to far-field transformation algorithm based on spherical wave expansion for application in near-field RCS measurement systems. If the distance and angular coordinates of each measurement point are known, the spherical wave functions in an orthogonal relationship can be calculated. If each weight is assumed to be unknown, a system of linear equations as numerous as the number of samples measured in the near electric field can be generated. In this system of linear equations, each weight value can be calculated using the iterative least squares QR-factorization method. Based on this theory, the validity of the proposed NFFFT is verified for several scatterer types, frequencies and measurement distances. |
format | Online Article Text |
id | pubmed-7765474 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77654742020-12-27 Near-Field to Far-Field RCS Prediction on Arbitrary Scanning Surfaces Based on Spherical Wave Expansion Kim, Woobin Im, Hyeong-Rae Noh, Yeong-Hoon Hong, Ic-Pyo Tae, Hyun-Sung Kim, Jeong-Kyu Yook, Jong-Gwan Sensors (Basel) Article Near-field to far-field transformation (NFFFT) is a frequently-used method in antenna and radar cross section (RCS) measurements for various applications. For weapon systems, most measurements are captured in the near-field area in an anechoic chamber, considering the security requirements for the design process and high spatial costs of far-field measurements. As the theoretical RCS value is the power ratio of the scattered wave to the incident wave in the far-field region, a scattered wave measured in the near-field region needs to be converted into field values in the far-field region. Therefore, this paper proposes a near-field to far-field transformation algorithm based on spherical wave expansion for application in near-field RCS measurement systems. If the distance and angular coordinates of each measurement point are known, the spherical wave functions in an orthogonal relationship can be calculated. If each weight is assumed to be unknown, a system of linear equations as numerous as the number of samples measured in the near electric field can be generated. In this system of linear equations, each weight value can be calculated using the iterative least squares QR-factorization method. Based on this theory, the validity of the proposed NFFFT is verified for several scatterer types, frequencies and measurement distances. MDPI 2020-12-16 /pmc/articles/PMC7765474/ /pubmed/33339107 http://dx.doi.org/10.3390/s20247199 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kim, Woobin Im, Hyeong-Rae Noh, Yeong-Hoon Hong, Ic-Pyo Tae, Hyun-Sung Kim, Jeong-Kyu Yook, Jong-Gwan Near-Field to Far-Field RCS Prediction on Arbitrary Scanning Surfaces Based on Spherical Wave Expansion |
title | Near-Field to Far-Field RCS Prediction on Arbitrary Scanning Surfaces Based on Spherical Wave Expansion |
title_full | Near-Field to Far-Field RCS Prediction on Arbitrary Scanning Surfaces Based on Spherical Wave Expansion |
title_fullStr | Near-Field to Far-Field RCS Prediction on Arbitrary Scanning Surfaces Based on Spherical Wave Expansion |
title_full_unstemmed | Near-Field to Far-Field RCS Prediction on Arbitrary Scanning Surfaces Based on Spherical Wave Expansion |
title_short | Near-Field to Far-Field RCS Prediction on Arbitrary Scanning Surfaces Based on Spherical Wave Expansion |
title_sort | near-field to far-field rcs prediction on arbitrary scanning surfaces based on spherical wave expansion |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765474/ https://www.ncbi.nlm.nih.gov/pubmed/33339107 http://dx.doi.org/10.3390/s20247199 |
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