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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1950-1951
Number of pages2
ISBN (Electronic)9781665496582
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Denver, United States
Duration: 2022 Jul 102022 Jul 15

Publication series

Name2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings

Conference

Conference2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022
Country/TerritoryUnited States
CityDenver
Period22/7/1022/7/15

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was supported by the Aerospace Low Observable Technology Laboratory Program of the Defense Acquisition Program Administration and the Agency for Defense Development of the Republic of Korea.

Publisher Copyright:
© 2022 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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