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...

Full description

Saved in:
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/111185/1/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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Putra Malaysia
Language: English

Internet

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

Similar Items