Data and Software underlying the research of: Microphones as Airspeed Sensors for Unmanned Aerial Vehicles

Datacite citation style:
Makaveev, Momchil; Smeur, Ewoud (2023): Data and Software underlying the research of: Microphones as Airspeed Sensors for Unmanned Aerial Vehicles. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21940367.v1
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Dataset
choose version: version 2 - 2023-03-01 (latest)
version 1 - 2023-01-23

This contains the data used to train and validate models created as part of the research project: Microphones as Airspeed Sensors for Unmanned Aerial Vehicles. The research objective is to evaluate the feasibility of the concept of estimating the airspeed of a vehicle using the power spectral density of the recorded wall pressure fluctuations on the vehicle's surface. The data was collected by performing practical experiments and it is in the form of the recorded microphones' voltage signal. Included is the data gathered from both the wind tunnel and flight experiments, the datasets organized as used for the trainign and validation of the models, as well as the response curve of the microphones used (Sonion 8002). Lastly, the trained models are also added. 



history
  • 2023-01-23 first online, published, posted
publisher
4TU.ResearchData
format
*.rar *.mat *.m *.xlsx *.bin *.log
organizations
TU Delft, Faculty of Aerospace Engineering, Micro Air Vehicle Laboratory (MAVLab)

DATA

files (1)