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

DOI:10.4121/21940367.v2
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/21940367

Datacite citation style

Makaveev, Momchil; Smeur, Ewoud (2023): Data and Software underlying the research of: Microphones as Airspeed Sensors for Unmanned Aerial Vehicles. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/21940367.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

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. 

A README file describing the contents and use of the files and definition of the used abbreviations and as well as the units of the parameeters are also included.



History

  • 2023-01-23 first online
  • 2023-03-01 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 (2)