Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
Estimation Technique of RCS using LSTM
- Authors
- Park, Geumbi; Vasanth, Kumar C.; Park, Gyutae; Koh, J.
- Issue Date
- Jul-2022
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Citation
- 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings, pp 695 - 696
- Pages
- 2
- Indexed
- SCOPUS
- Journal Title
- 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings
- Start Page
- 695
- End Page
- 696
- ISSN
- 0000-0000
- Abstract
- RCS measurement is a factor that helps design communication systems, antenna systems, and aircraft where scattering and reflection of electromagnetic waves are important. However, RCS measurements of time and cost are particularly related to large items such as aircraft and ships. Accordingly, this study provided a long-short-term memory (LSTM) strategy to solve the above difficulty and increase RCS measurement efficiency. RCS was evaluated using computer simulation, and after learning based on the observed data, RCS prediction data not measured within tolerance was calculated. The estimated data used RMSE to determine the error, and the estimated value indicates the result along the trend line of the observed value. © 2022 IEEE.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - 공학계열 > 전자공학과 > Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.