TY - DATA
T1 - Data and Software underlying the research of: Microphones as Airspeed Sensors for Unmanned Aerial Vehicles
PY - 2023/01/23
AU - Momchil Makaveev
AU - Ewoud Smeur
UR - https://data.4tu.nl/articles/dataset/Data_and_Software_underlying_the_research_of_Microphones_as_Airspeed_Sensors_for_Unmanned_Aerial_Vehicles/21940367/1
DO - 10.4121/21940367.v1
KW - Feed-Forward Neural Networks
KW - Microphones
KW - wind tunnel experiments
KW - flight experiments
KW - Micro air vehicles
KW - airspeed
KW - angle of attack
KW - wall pressure fluctuations
KW - hydrodynamic pressure fluctuations
N2 - <p>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. </p>
<p><br></p>
<p><br></p>
ER -