A comparison of 3 dimensional acoustic localization methods based on global optimization and neural networks
Master Thesis
(2021)
Author(s)
R.D. Schoorl (TU Delft - Aerospace Engineering)
Contributor(s)
M Snellen – Mentor (TU Delft - Aircraft Noise and Climate Effects)
Dick G. Simons – Mentor (TU Delft - Aircraft Noise and Climate Effects)
Faculty
Aerospace Engineering
Copyright
© 2021 Daan Schoorl
To reference this document use:
https://resolver.tudelft.nl/uuid:eb926165-df56-409a-9ecf-ca62781538df
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 Daan Schoorl
Graduation Date
23-11-2021
Awarding Institution
Delft University of Technology
Programme
['Aerospace Engineering']
Faculty
Aerospace Engineering
Reuse Rights
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Abstract
The past years there has been a significant increase in the popularity and commercial availability of consumer drones.