RCS Prediction Using Image-Based NFFFT Algorithm with Interpolation

Seul Gi Ko; Sung Geon Kim; Jae Hyuk Kang; Ic Pyo Hong; Hyun Sung Tae; Jong Gwan Yook

doi:10.1109/ISAP62502.2024.10846246

RCS Prediction Using Image-Based NFFFT Algorithm with Interpolation

Seul Gi Ko, Sung Geon Kim, Jae Hyuk Kang, Ic Pyo Hong, Hyun Sung Tae, Jong Gwan Yook

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Measuring far-field RCS requires creating an environment that matches the target, which involves spatial and economic constraints. For this reason, research on far-field to near-field conversion algorithms has been actively conducted. Accurate RCS calculations require a large amount of measurement data, but obtaining many samples increases measurement time and the computation time for Reflectivity images. In this paper, to calculate high-accuracy RCS with fewer samples, we applied an interpolation function to the Reflectivity image data of the existing image-based NFFFT algorithm to create new Reflectivity images. Based on this, we compared and analyzed the accuracy of the RCS calculation results and the computation time of far-field to near-field conversion with those of the existing algorithm.

Original language	English
Title of host publication	ISAP 2024 - International Symposium on Antennas and Propagation
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350364774
DOIs	https://doi.org/10.1109/ISAP62502.2024.10846246
Publication status	Published - 2024
Event	2024 International Symposium on Antennas and Propagation, ISAP 2024 - Incheon, Korea, Republic of Duration: 2024 Nov 5 → 2024 Nov 8

Publication series

Name	ISAP 2024 - International Symposium on Antennas and Propagation

Conference

Conference	2024 International Symposium on Antennas and Propagation, ISAP 2024
Country/Territory	Korea, Republic of
City	Incheon
Period	24/11/5 → 24/11/8

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

All Science Journal Classification (ASJC) codes

Instrumentation
Computer Networks and Communications
Electronic, Optical and Magnetic Materials

Access to Document

10.1109/ISAP62502.2024.10846246

Cite this

Ko, S. G., Kim, S. G., Kang, J. H., Hong, I. P., Tae, H. S., & Yook, J. G. (2024). RCS Prediction Using Image-Based NFFFT Algorithm with Interpolation. In ISAP 2024 - International Symposium on Antennas and Propagation (ISAP 2024 - International Symposium on Antennas and Propagation). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISAP62502.2024.10846246

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title = "RCS Prediction Using Image-Based NFFFT Algorithm with Interpolation",

abstract = "Measuring far-field RCS requires creating an environment that matches the target, which involves spatial and economic constraints. For this reason, research on far-field to near-field conversion algorithms has been actively conducted. Accurate RCS calculations require a large amount of measurement data, but obtaining many samples increases measurement time and the computation time for Reflectivity images. In this paper, to calculate high-accuracy RCS with fewer samples, we applied an interpolation function to the Reflectivity image data of the existing image-based NFFFT algorithm to create new Reflectivity images. Based on this, we compared and analyzed the accuracy of the RCS calculation results and the computation time of far-field to near-field conversion with those of the existing algorithm.",

keywords = "Interpolation, NFFFT, Near-field to Far-field Transformation, RCS",

author = "Ko, {Seul Gi} and Kim, {Sung Geon} and Kang, {Jae Hyuk} and Hong, {Ic Pyo} and Tae, {Hyun Sung} and Yook, {Jong Gwan}",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 International Symposium on Antennas and Propagation, ISAP 2024 ; Conference date: 05-11-2024 Through 08-11-2024",

year = "2024",

doi = "10.1109/ISAP62502.2024.10846246",

language = "English",

series = "ISAP 2024 - International Symposium on Antennas and Propagation",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "ISAP 2024 - International Symposium on Antennas and Propagation",

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}

Ko, SG, Kim, SG, Kang, JH, Hong, IP, Tae, HS & Yook, JG 2024, RCS Prediction Using Image-Based NFFFT Algorithm with Interpolation. in ISAP 2024 - International Symposium on Antennas and Propagation. ISAP 2024 - International Symposium on Antennas and Propagation, Institute of Electrical and Electronics Engineers Inc., 2024 International Symposium on Antennas and Propagation, ISAP 2024, Incheon, Korea, Republic of, 24/11/5. https://doi.org/10.1109/ISAP62502.2024.10846246

RCS Prediction Using Image-Based NFFFT Algorithm with Interpolation. / Ko, Seul Gi; Kim, Sung Geon; Kang, Jae Hyuk et al.
ISAP 2024 - International Symposium on Antennas and Propagation. Institute of Electrical and Electronics Engineers Inc., 2024. (ISAP 2024 - International Symposium on Antennas and Propagation).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - RCS Prediction Using Image-Based NFFFT Algorithm with Interpolation

AU - Ko, Seul Gi

AU - Kim, Sung Geon

AU - Kang, Jae Hyuk

AU - Hong, Ic Pyo

AU - Tae, Hyun Sung

AU - Yook, Jong Gwan

PY - 2024

Y1 - 2024

N2 - Measuring far-field RCS requires creating an environment that matches the target, which involves spatial and economic constraints. For this reason, research on far-field to near-field conversion algorithms has been actively conducted. Accurate RCS calculations require a large amount of measurement data, but obtaining many samples increases measurement time and the computation time for Reflectivity images. In this paper, to calculate high-accuracy RCS with fewer samples, we applied an interpolation function to the Reflectivity image data of the existing image-based NFFFT algorithm to create new Reflectivity images. Based on this, we compared and analyzed the accuracy of the RCS calculation results and the computation time of far-field to near-field conversion with those of the existing algorithm.

AB - Measuring far-field RCS requires creating an environment that matches the target, which involves spatial and economic constraints. For this reason, research on far-field to near-field conversion algorithms has been actively conducted. Accurate RCS calculations require a large amount of measurement data, but obtaining many samples increases measurement time and the computation time for Reflectivity images. In this paper, to calculate high-accuracy RCS with fewer samples, we applied an interpolation function to the Reflectivity image data of the existing image-based NFFFT algorithm to create new Reflectivity images. Based on this, we compared and analyzed the accuracy of the RCS calculation results and the computation time of far-field to near-field conversion with those of the existing algorithm.

KW - Interpolation

KW - NFFFT

KW - Near-field to Far-field Transformation

KW - RCS

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T3 - ISAP 2024 - International Symposium on Antennas and Propagation

BT - ISAP 2024 - International Symposium on Antennas and Propagation

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2024 International Symposium on Antennas and Propagation, ISAP 2024

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ER -

RCS Prediction Using Image-Based NFFFT Algorithm with Interpolation

Abstract

Publication series

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Bibliographical note

All Science Journal Classification (ASJC) codes

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