TY - GEN
T1 - Microphones on drones - Perspectives for soundscape
AU - Sutin, Alexander
AU - Salloum, Hady
AU - Sedunov, Nikolay
AU - Sedunov, Alexander
AU - Merzhevskiy, Aleksandr
AU - Tsyuryupa, Sergey
AU - Francis, Christopher
N1 - Publisher Copyright:
© Proceedings of the 26th International Congress on Sound and Vibration, ICSV 2019. All rights reserved.
PY - 2019
Y1 - 2019
N2 - The concept of the soundscape is defined as the combination of all natural and artificial sounds, within a given area and associated temporal and spatial variations. Soundscape methods are especially important near airports and highways, where sound affects the quality of life and health. Soundscape methods are also used for security as they can detect gunfire, sounds of human abnormal behaviors and threats of terrorism, crime, riots, and animal sounds. Current soundscape approaches use stationary microphones and microphone arrays that have been limited to small areas. The application of microphone arrays installed on Unmanned Aerial Systems (UAS) can provide fast and low-cost soundscape of large areas. We present the results of our initial investigations of two systems: a four-microphone recording system installed on a Multirotor DJI S1000 and a two-microphone compact system installed on a Parrot Disco FPV fixed-wing drone. In the field test with DJI S1000, the cross-correlation method for direction finding of a source of sound allows the detection and tracking of a speaker producing noise with a level of 94 dBA at 1 m at a distance of about 10 m. Fixed wing drones are quieter and more suitable for studying the soundscape. They produce stable harmonics during the flight that can be filtered out for soundscape measurements. The sound pressure level measured by its microphones was about 72 dBA and drops down to 62 dBA when discrete harmonics were removed. The additional signal processing can decrease this self-noise level. The Parrot can provide sound recording during gliding, when the motor noise is absent.
AB - The concept of the soundscape is defined as the combination of all natural and artificial sounds, within a given area and associated temporal and spatial variations. Soundscape methods are especially important near airports and highways, where sound affects the quality of life and health. Soundscape methods are also used for security as they can detect gunfire, sounds of human abnormal behaviors and threats of terrorism, crime, riots, and animal sounds. Current soundscape approaches use stationary microphones and microphone arrays that have been limited to small areas. The application of microphone arrays installed on Unmanned Aerial Systems (UAS) can provide fast and low-cost soundscape of large areas. We present the results of our initial investigations of two systems: a four-microphone recording system installed on a Multirotor DJI S1000 and a two-microphone compact system installed on a Parrot Disco FPV fixed-wing drone. In the field test with DJI S1000, the cross-correlation method for direction finding of a source of sound allows the detection and tracking of a speaker producing noise with a level of 94 dBA at 1 m at a distance of about 10 m. Fixed wing drones are quieter and more suitable for studying the soundscape. They produce stable harmonics during the flight that can be filtered out for soundscape measurements. The sound pressure level measured by its microphones was about 72 dBA and drops down to 62 dBA when discrete harmonics were removed. The additional signal processing can decrease this self-noise level. The Parrot can provide sound recording during gliding, when the motor noise is absent.
KW - Drone
KW - Microphones
KW - Soundscape
KW - Unmanned aerial systems
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M3 - Conference contribution
AN - SCOPUS:85084015503
T3 - Proceedings of the 26th International Congress on Sound and Vibration, ICSV 2019
BT - Proceedings of the 26th International Congress on Sound and Vibration, ICSV 2019
T2 - 26th International Congress on Sound and Vibration, ICSV 2019
Y2 - 7 July 2019 through 11 July 2019
ER -