Performance of DOA estimation algorithms for acoustic localization of indoor flying drones using artificial sound source

Performance of DOA estimation algorithms for acoustic localization of indoor flying drones using artificial sound source

Flying unmanned aerial vehicles (UAVs) in swarms can have numerous advantages. However, to maintain a safe distance between them during flight is very challenging. To achieve this, each UAV in the swarms needs to know its relative location with respect to one another. This work proposes a method for...

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Bibliographic Details
Main Authors: Syaril, Azrad, Salman, Abdulaziz, Al-Haddad, Syed Abdul Rahman
Format: Article
Language:English
Published: Aeronautical and Astronautical Society of the Republic of China 2024
Online Access:http://psasir.upm.edu.my/id/eprint/111185/
http://psasir.upm.edu.my/id/eprint/111185/1/Performance%20of%20DOA%20Estimation%20Algorithms%20for%20Acoustic%20Localization%20of%20Indoor%20Flying%20Drones%20Using%20Art.pdf

Internet

http://psasir.upm.edu.my/id/eprint/111185/
http://psasir.upm.edu.my/id/eprint/111185/1/Performance%20of%20DOA%20Estimation%20Algorithms%20for%20Acoustic%20Localization%20of%20Indoor%20Flying%20Drones%20Using%20Art.pdf

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