On-field noise measurements and acoustic characterisation of multi-rotor small unmanned aerial systems

Ramos-Romero, Carlos; Green, Nathan; Torija, Antonio J.; Asensio, C.

doi:10.1016/j.ast.2023.108537

Cited by 11 publications

(2 citation statements)

References 27 publications

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“…Two manoeuvres were tested during the measurement campaign. For hovering (reported in [12]), the sUAS operates in a stationary position over the central microphone during 20.0 s. Both operations were carried out at a constant height above the ground h AGL = 10.0 m. For the flyover operation (reported in this paper), the sUAS describes a transverse trajectory with respect to the microphone line over the central microphone at two airspeeds (15 m/s, and 5 m/s).…”

Section: Experimental Set-upmentioning

confidence: 99%

On-field measurement for sUAS noise characterization

Ramos-Romero,

Green,

Asensio

et al. 2024

Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023

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With the imminent introduction of multi-rotor aircraft systems in airspace and the expectation of their operation near urban areas, noise emissions from this new type of noise sources have become an important research topic, mainly because they have been reported to be more annoying than other conventional urban noise sources(e.g., road vehicles) at the same loudness level. Specific techniques for adequately measuring sound produced by small Unmanned Aircraft Systems (sUAS) are currently being developed by international standardisation organisations, aviation agencies, and research institutions. All of these efforts are intended to be relevant in establishing common measurement protocols between environmental policymakers, stakeholders, drone companies, and academia.This paper presents a multichannel on-field methodology for the characterisation of sUAS noise. In addition to the measurement procedure, the methodology covers the back-propagation techniques applied in the analysis of each microphone recording, and preliminary results, which include acoustic metrics (L Amax , L Aeq and L AE ), directivity plots, and noise hemispheres during flyovers, presented in both the time and frequency domains.

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Section: Experimental Set-upmentioning

confidence: 99%

On-field measurement for sUAS noise characterization

Ramos-Romero,

Green,

Asensio

et al. 2024

Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023

View full text Add to dashboard Cite

show abstract

“…Despite the advantages of UAV mobility, one concern is the noise of the device, which can impact both humans and wildlife (Schad & Fischer, 2022;Schäffer et al, 2021;Wich et al, 2021). The noise of a UAV can vary greatly according to type, size, number of rotors, payload and flyover speed (Ramos-Romero et al, 2023;Schäffer et al, 2021), with even fixed-wing UAVs generating noise (Harvey & O'Young, 2018), making it challenging to both predict animal response to UAV flights (Mo & Bonatakis, 2022), control for changes in background noise for acoustic experiments and capture the natural (i.e. non-disturbed) behaviour of wild animals.…”

Section: Introductionmentioning

confidence: 99%

HawkEar: A bird‐borne visual and acoustic platform for eavesdropping the behaviour of mobile animals

Kloepper,

Taylor,

Domski

et al. 2024

Methods Ecol Evol

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Unoccupied aerial vehicles (UAVs; drones) offer mobile platforms for ecological investigation, but can be impractical in some environments and the resulting noise can disturb wildlife. We developed a mobile alternative using a bird‐borne platform to record the behaviour of other animals in the field. This unit consists of a lightweight audio and video sensor that is carried by a trained Harris's hawk Parabuteo unicinctus. We tested the hypothesis that our bird‐borne platform is a viable option for collecting behavioural data from mobile animals. We recorded acoustic and video data as the hawk flew through a dense group of Brazilian free‐tailed bats Tadarida brasiliensis emerging from a cave, with a test case of investigating how echolocation calls change depending on spatial position in the bat group. The HawkEar platform is an alternative for collecting behavioural data when a mobile platform that is less noisy and restrictive than traditional UAVs is needed. The design and software are open source and can be modified to accommodate additional sensor needs.

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Internal structure optimization for noise reduction in next-generation blower silencers

Yang,

Lee,

2024

J Mech Sci Technol

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On-field noise measurements and acoustic characterisation of multi-rotor small unmanned aerial systems

Cited by 11 publications

References 27 publications

On-field measurement for sUAS noise characterization

On-field measurement for sUAS noise characterization

HawkEar: A bird‐borne visual and acoustic platform for eavesdropping the behaviour of mobile animals

Internal structure optimization for noise reduction in next-generation blower silencers

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