국내 대기 관측 데이터를 활용한레이다성능분석.

Autor: 박명훈, 전우중, 문현욱, 권세웅, 김상현, 이기원
Předmět:
Zdroj: Journal of Korean Institute of Electromagnetic Engineering & Science / Han-Guk Jeonjapa Hakoe Nonmunji; May2023, Vol. 34 Issue 5, p415-423, 9p
Abstrakt: In this study, radar performance variations were analyzed using a modeling and simulation (M&S) model according to atmospheric conditions. The refractive index of each layer constituting the atmosphere was configured with different values depending on the time and place. Radio waves propagate differently depending on the refractive index and radar performance changes. Therefore, predicting and analyzing the radar performance reflecting the refractive index is crucial. An exponential model that reflects the domestic atmos- pheric environment and a measured data model using actual observed data (one year) was used to analyze the radar performance by reflecting atmospheric conditions. In addition, the variation in radar performance according to atmospheric conditions was analyzed using an advanced propagation model (APM), which analyzes the radio wave environment, radar, and target M&S models. As a result, the average and standard deviation of the maximum detection range were analyzed as about 227.30 NM (421 km), 3.64 NM (6.74 km) for the exponential model and about 220.31 NM (408 km), 8.99 NM (16.65 km) for the measured data model and the maximum detection range was analyzed longer in summer than in winter. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index