The calibration of weather radar for detecting meteorological phenomena has advanced rapidly, aiming to enhance accuracy. Utilizing an unmanned aerial vehicle (UAV) equipped with a suspended metal sphere introduces an efficient calibration method by allowing dynamic adjustment of the UAV's position, effectively acting as a mobile calibration platform. However, external factors such as wind can introduce bias in reflectivity measurements by causing the sphere to deviate from its intended position. This study develops a theoretical model to assess the impact of the metal sphere's one-dimensional oscillation on reflectivity. The findings offer valuable insights for UAV based radar calibration efforts.
@article{arxiv.2407.04719,
title = {UAV-Assisted Weather Radar Calibration: A Theoretical Model for Wind Influence on Metal Sphere Reflectivity},
author = {Jiabiao Zhao and Da Li and Jiayuan Cui and Houjun Sun and Jianjun Ma},
journal= {arXiv preprint arXiv:2407.04719},
year = {2024}
}
Comments
to be published in the 2024 International Conference on Microwave and Millimeter Wave Technology