Near-Field to Far-Field RCS Prediction for Large-Scale Scatterers Based on Multi-Level Spherical Wave Expansion

Woobin Kim; Ic Pyo Hong; Jong Gwan Yook

doi:10.1109/AP-S/USNC-URSI47032.2022.9887008

Near-Field to Far-Field RCS Prediction for Large-Scale Scatterers Based on Multi-Level Spherical Wave Expansion

Woobin Kim, Ic Pyo Hong, Jong Gwan Yook

Department of Electrical and Electronic Engineering

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

Abstract

For weapon systems, most RCS measurements are captured in the near-field area in anechoic chamber, considering the security requirements for the research process and high spatial costs. So, It is necessary to convert the scattered wave measured in the near-field region to the RCS value in the far-field region. Therefore, this paper proposes a near-field to far-field transformation algorithm based on multi-level spherical wave expansion for application in near-field RCS measurement systems. It was verified that faster and more accurate RCS prediction is possible by supplementing this via a multi-level technique.

Original language	English
Title of host publication	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1950-1951
Number of pages	2
ISBN (Electronic)	9781665496582
DOIs	https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9887008
Publication status	Published - 2022
Event	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Denver, United States Duration: 2022 Jul 10 → 2022 Jul 15

Publication series

Name	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings

Conference

Conference	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022
Country/Territory	United States
City	Denver
Period	22/7/10 → 22/7/15

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Signal Processing
Instrumentation

Access to Document

10.1109/AP-S/USNC-URSI47032.2022.9887008

Cite this

Kim, W., Hong, I. P., & Yook, J. G. (2022). Near-Field to Far-Field RCS Prediction for Large-Scale Scatterers Based on Multi-Level Spherical Wave Expansion. In 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings (pp. 1950-1951). (2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9887008

Kim, Woobin ; Hong, Ic Pyo ; Yook, Jong Gwan. / Near-Field to Far-Field RCS Prediction for Large-Scale Scatterers Based on Multi-Level Spherical Wave Expansion. 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 1950-1951 (2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings).

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abstract = "For weapon systems, most RCS measurements are captured in the near-field area in anechoic chamber, considering the security requirements for the research process and high spatial costs. So, It is necessary to convert the scattered wave measured in the near-field region to the RCS value in the far-field region. Therefore, this paper proposes a near-field to far-field transformation algorithm based on multi-level spherical wave expansion for application in near-field RCS measurement systems. It was verified that faster and more accurate RCS prediction is possible by supplementing this via a multi-level technique.",

author = "Woobin Kim and Hong, {Ic Pyo} and Yook, {Jong Gwan}",

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Kim, W, Hong, IP & Yook, JG 2022, Near-Field to Far-Field RCS Prediction for Large-Scale Scatterers Based on Multi-Level Spherical Wave Expansion. in 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings. 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1950-1951, 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022, Denver, United States, 22/7/10. https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9887008

Near-Field to Far-Field RCS Prediction for Large-Scale Scatterers Based on Multi-Level Spherical Wave Expansion. / Kim, Woobin; Hong, Ic Pyo; Yook, Jong Gwan.
2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. p. 1950-1951 (2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings).

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

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N2 - For weapon systems, most RCS measurements are captured in the near-field area in anechoic chamber, considering the security requirements for the research process and high spatial costs. So, It is necessary to convert the scattered wave measured in the near-field region to the RCS value in the far-field region. Therefore, this paper proposes a near-field to far-field transformation algorithm based on multi-level spherical wave expansion for application in near-field RCS measurement systems. It was verified that faster and more accurate RCS prediction is possible by supplementing this via a multi-level technique.

AB - For weapon systems, most RCS measurements are captured in the near-field area in anechoic chamber, considering the security requirements for the research process and high spatial costs. So, It is necessary to convert the scattered wave measured in the near-field region to the RCS value in the far-field region. Therefore, this paper proposes a near-field to far-field transformation algorithm based on multi-level spherical wave expansion for application in near-field RCS measurement systems. It was verified that faster and more accurate RCS prediction is possible by supplementing this via a multi-level technique.

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Kim W, Hong IP, Yook JG. Near-Field to Far-Field RCS Prediction for Large-Scale Scatterers Based on Multi-Level Spherical Wave Expansion. In 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. p. 1950-1951. (2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings). doi: 10.1109/AP-S/USNC-URSI47032.2022.9887008

Near-Field to Far-Field RCS Prediction for Large-Scale Scatterers Based on Multi-Level Spherical Wave Expansion

Abstract

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Bibliographical note

All Science Journal Classification (ASJC) codes

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