UAV-Assisted Weather Radar Calibration: A Theoretical Model for Wind Influence on Metal Sphere Reflectivity

Jiabiao Zhao, Da Li, Jiayuan Cui, Houjun Sun, Jianjun Ma

Research output: Contribution to journalConference articlepeer-review

Abstract

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 UA V'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 UA V -based radar calibration efforts.

Original languageEnglish
JournalICMMT - International Conference on Microwave and Millimeter Wave Technology
Issue number2024
DOIs
Publication statusPublished - 2024
Event16th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2024 - Beijing, China
Duration: 16 May 202419 May 2024

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