Study of an Atmospheric Refractivity Estimation Using AREPS and Genetic Algorithm

  • Jang, D.; 
  • Kim, J.; 
  • Park, Y.B.; 
  • Choo, H.
Citations

WEB OF SCIENCE

2
Citations

SCOPUS

2

초록

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.

키워드

estimation methods; genetic algorithm; wave propagation
제목
Study of an Atmospheric Refractivity Estimation Using AREPS and Genetic Algorithm
저자
Jang, D.; Kim, J.; Park, Y.B.; Choo, H.
DOI
10.1109/RFIT54256.2022.9882467
발행일
2022-01-01
유형
Proceedings Paper
저널명
RFIT 2022 - 2022 IEEE International Symposium on Radio-Frequency Integration Technology
페이지
110 ~ 111