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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Format: | Article |
Language: | English |
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Aeronautical and Astronautical Society of the Republic of China
2024
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Online Access: | http://psasir.upm.edu.my/id/eprint/111185/1/Performance%20of%20DOA%20Estimation%20Algorithms%20for%20Acoustic%20Localization%20of%20Indoor%20Flying%20Drones%20Using%20Art.pdf http://psasir.upm.edu.my/id/eprint/111185/ https://www.airitilibrary.com/Article/Detail/P20140627004-N202403020027-00035 |
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http://psasir.upm.edu.my/id/eprint/111185/1/Performance%20of%20DOA%20Estimation%20Algorithms%20for%20Acoustic%20Localization%20of%20Indoor%20Flying%20Drones%20Using%20Art.pdfhttp://psasir.upm.edu.my/id/eprint/111185/
https://www.airitilibrary.com/Article/Detail/P20140627004-N202403020027-00035