Noise level prediction of a small UAV using panel contribution analysis

Gong Cheng, D. W. Herrin

Research output: Contribution to conferencePaperpeer-review

4 Scopus citations

Abstract

Panel contribution analysis is used to predict the sound pressure level in the far field from a small UAV. Measurements were performed on six measurement surfaces forming an imaginary box encompassing the UAV. A P-U Probe was utilized to measure both sound pressure and particle velocity on the imaginary surfaces. Acoustic transfer functions between the source and a receiver point located 5.5 m away from the UAV were measured. The noise level was predicted from measurements close to the UAV assuming both correlated and uncorrelated sources at the receiver point. The sound pressure level calculated by the correlated model compared well with direct measurement.

Original languageEnglish
StatePublished - 2018
Event47th International Congress and Exposition on Noise Control Engineering: Impact of Noise Control Engineering, INTER-NOISE 2018 - Chicago, United States
Duration: Aug 26 2018Aug 29 2018

Conference

Conference47th International Congress and Exposition on Noise Control Engineering: Impact of Noise Control Engineering, INTER-NOISE 2018
Country/TerritoryUnited States
CityChicago
Period8/26/188/29/18

Bibliographical note

Publisher Copyright:
© INTER-NOISE 2018 - 47th International Congress and Exposition on Noise Control Engineering: Impact of Noise Control Engineering. All rights reserved.

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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