Three-Dimensional Near-Field to Far-Field Transformation for Radar Cross Section Estimation of Elongated Targets via Subdimensional Hybrid Conversion
Image-based (IB) near-field to far-field transformation (NFFFT) is a useful method for the valid prediction of radar cross sections (RCSs) from short-range monostatic measurements. Many previous studies on the IB NFFFT algorithm have been limited to two-dimensional (2D) measurement cases. In this wo...
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Format: | Article |
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The Korean Institute of Electromagnetic Engineering and Science
2022-07-01
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Series: | Journal of Electromagnetic Engineering and Science |
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Online Access: | http://jees.kr/upload/pdf/jees-2022-4-r-116.pdf |
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author | Jeong-Kyu Kim Hyun-Sung Tae Min-Gyeong Seo Ho-Min Park |
author_facet | Jeong-Kyu Kim Hyun-Sung Tae Min-Gyeong Seo Ho-Min Park |
author_sort | Jeong-Kyu Kim |
collection | DOAJ |
description | Image-based (IB) near-field to far-field transformation (NFFFT) is a useful method for the valid prediction of radar cross sections (RCSs) from short-range monostatic measurements. Many previous studies on the IB NFFFT algorithm have been limited to two-dimensional (2D) measurement cases. In this work, a subdimensional hybrid conversion approach is proposed as a relevant three-dimensional (3D) NFFFT method consisting of the following procedures. First, the spherical-wave information collected through 3D scanning is converted to a cylindrical waveform by applying the 2D circular NFFFT (CNFFFT) method to every vertical subplane (r-θ plane). Then, a horizontal far-field radar image on the x-y plane and an RCS pattern are extracted through direct integration of a 2D focusing operator modified to compensate for a magnitude error through distance approximation during the CNFFFT procedure. The results of a comparative study with direct integration of a 3D focusing operator are presented to show the validity and performance of the proposed method. |
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format | Article |
id | doaj.art-24c910cd6ef64cae95940c1452dab656 |
institution | Directory Open Access Journal |
issn | 2671-7255 2671-7263 |
language | English |
last_indexed | 2024-04-12T06:08:01Z |
publishDate | 2022-07-01 |
publisher | The Korean Institute of Electromagnetic Engineering and Science |
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series | Journal of Electromagnetic Engineering and Science |
spelling | doaj.art-24c910cd6ef64cae95940c1452dab6562022-12-22T03:44:47ZengThe Korean Institute of Electromagnetic Engineering and ScienceJournal of Electromagnetic Engineering and Science2671-72552671-72632022-07-0122450951410.26866/jees.2022.4.r.1163539Three-Dimensional Near-Field to Far-Field Transformation for Radar Cross Section Estimation of Elongated Targets via Subdimensional Hybrid ConversionJeong-Kyu KimHyun-Sung TaeMin-Gyeong SeoHo-Min ParkImage-based (IB) near-field to far-field transformation (NFFFT) is a useful method for the valid prediction of radar cross sections (RCSs) from short-range monostatic measurements. Many previous studies on the IB NFFFT algorithm have been limited to two-dimensional (2D) measurement cases. In this work, a subdimensional hybrid conversion approach is proposed as a relevant three-dimensional (3D) NFFFT method consisting of the following procedures. First, the spherical-wave information collected through 3D scanning is converted to a cylindrical waveform by applying the 2D circular NFFFT (CNFFFT) method to every vertical subplane (r-θ plane). Then, a horizontal far-field radar image on the x-y plane and an RCS pattern are extracted through direct integration of a 2D focusing operator modified to compensate for a magnitude error through distance approximation during the CNFFFT procedure. The results of a comparative study with direct integration of a 3D focusing operator are presented to show the validity and performance of the proposed method.http://jees.kr/upload/pdf/jees-2022-4-r-116.pdfcircular near-field to far-field transformationnear-field measurementnear-field to far-field transformationradar cross sectionradar imaging |
spellingShingle | Jeong-Kyu Kim Hyun-Sung Tae Min-Gyeong Seo Ho-Min Park Three-Dimensional Near-Field to Far-Field Transformation for Radar Cross Section Estimation of Elongated Targets via Subdimensional Hybrid Conversion Journal of Electromagnetic Engineering and Science circular near-field to far-field transformation near-field measurement near-field to far-field transformation radar cross section radar imaging |
title | Three-Dimensional Near-Field to Far-Field Transformation for Radar Cross Section Estimation of Elongated Targets via Subdimensional Hybrid Conversion |
title_full | Three-Dimensional Near-Field to Far-Field Transformation for Radar Cross Section Estimation of Elongated Targets via Subdimensional Hybrid Conversion |
title_fullStr | Three-Dimensional Near-Field to Far-Field Transformation for Radar Cross Section Estimation of Elongated Targets via Subdimensional Hybrid Conversion |
title_full_unstemmed | Three-Dimensional Near-Field to Far-Field Transformation for Radar Cross Section Estimation of Elongated Targets via Subdimensional Hybrid Conversion |
title_short | Three-Dimensional Near-Field to Far-Field Transformation for Radar Cross Section Estimation of Elongated Targets via Subdimensional Hybrid Conversion |
title_sort | three dimensional near field to far field transformation for radar cross section estimation of elongated targets via subdimensional hybrid conversion |
topic | circular near-field to far-field transformation near-field measurement near-field to far-field transformation radar cross section radar imaging |
url | http://jees.kr/upload/pdf/jees-2022-4-r-116.pdf |
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