Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
Study of an Atmospheric Refractivity Estimation Using AREPS and Genetic Algorithm
- Authors
- Jang, D.; Kim, J.; Park, Y.B.; Choo, H.
- Issue Date
- 1-Jan-2022
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- estimation methods; genetic algorithm; wave propagation
- Citation
- RFIT 2022 - 2022 IEEE International Symposium on Radio-Frequency Integration Technology, pp.110 - 111
- Journal Title
- RFIT 2022 - 2022 IEEE International Symposium on Radio-Frequency Integration Technology
- Start Page
- 110
- End Page
- 111
- ISSN
- 0000-0000
- Abstract
- In this paper, we propose an estimation method of an atmospheric refractivity according to altitude. To estimate the atmospheric refractivity, an artificial trilinear model that can express the ducting conditions is applied to a genetic algorithm (GA) process. The calculated clutter power spectrum using the designed trilinear model is then compared with the calculated clutter power spectrum based on the measured atmospheric refractivity data. The result demonstrates that the atmospheric refractivity can be predicted using the proposed method from the sea clutter powers. © 2022 IEEE.
- Files in This Item
- There are no files associated with this item.
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Choo, Ho sung
- Engineering (Electronic & Electrical Engineering)