DOI: 10.5281/zenodo.15405529
title: Drone RCS Statistical Behaviour and its Implications for Agriculture Drones Air Traffic Management

description: The dataset titled "2025-04-30_CIDET_VO1_Měření_RCS_EX5_1600" captures a measurement session, combining structural metadata with signal characteristics. It contains information about both the measurement setup and the raw data collected during the flight. The distance and frequency domains are represented through detailed matrices that describe the radar cross-section behavior, including both its maximum values and median distribution across evaluated frequencies. Temporal and spatial profiles provide insight into how the signal evolves over time and across different azimuth angles, offering a multi-dimensional view of the observed environment. This measurement enables in-depth analysis of radar signal properties, combining distance, frequency, time, and azimuth data into a coherent and structured format.

The dataset titled "2025-04-30_CIDET_VO1_Měření_RCS_EX5_2200" captures a measurement session, combining structural metadata with signal characteristics. It contains information about both the measurement setup and the raw data collected during the flight. The distance and frequency domains are represented through detailed matrices that describe the radar cross-section behavior, including both its maximum values and median distribution across evaluated frequencies. Temporal and spatial profiles provide insight into how the signal evolves over time and across different azimuth angles, offering a multi-dimensional view of the observed environment. This measurement enables in-depth analysis of radar signal properties, combining distance, frequency, time, and azimuth data into a coherent and structured format.

Measurement of reference sphere with RCS 0,07 sqmThe dataset contains a measurement of a calibrated target with a known radar cross-section. It integrates essential metadata about the measurement process and the source of the data, providing a structured overview of how the reference sphere reflects radar signals across different conditions. The data captures variations in radar cross-section over a range of frequencies and distances, highlighting both maximum and median values for precise analysis. The measurement includes detailed spatial and temporal profiles, mapping signal behavior over azimuth angles and time to offer a complete picture of the radar return. This comprehensive dataset is particularly valuable for calibration purposes and validation of radar system performance, as it combines frequency, distance, and angular data in a consistent and well-organized format.

Telemetry log from drone EX5The dataset provides a record of the drone’s flight parameters, captured in a structured matrix format. Each row corresponds to a telemetry entry, documenting the drone’s geographic position, altitude, and speed, along with precise timestamps in UTC. The log also includes dynamic orientation data, such as pitch, roll, and yaw angles, which offer insight into the drone's movement and stability during flight. Additionally, the flight mode column records the operational state of the drone—such as P-GPS, Tripod, or SPORT—highlighting different control and navigation behaviors. This telemetry dataset serves as a fundamental resource for analyzing the drone’s flight performance, behavior, and environmental interactions over time.

Telemetry log from drone EX5The dataset provides a record of the drone’s flight parameters, captured in a structured matrix format. Each row corresponds to a telemetry entry, documenting the drone’s geographic position, altitude, and speed, along with precise timestamps in UTC. The log also includes dynamic orientation data, such as pitch, roll, and yaw angles, which offer insight into the drone's movement and stability during flight. Additionally, the flight mode column records the operational state of the drone—such as P-GPS, Tripod, or SPORT—highlighting different control and navigation behaviors. This telemetry dataset serves as a fundamental resource for analyzing the drone’s flight performance, behavior, and environmental interactions over time.

 
description: These are the data for the article under the identifier 10.5281/zenodo.15406759 and presentaion under the identifier 10.5281/zenodo.15406433.