| DOI | Resolve DOI: https://doi.org/10.2514/6.2019-2382 |
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| Author | Search for: Price, Andrew1; Search for: Ghinet, Sebastian1; Search for: Daigle, Gilles1; Search for: Stinson, Mike1; Search for: Grewal, Anant K.1; Search for: Minwalla, Cyrus1; Search for: Yapa, Upekha; Search for: Wickramasinghe, Viresh K.1 |
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| Affiliation | - National Research Council of Canada. Aerospace
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| Format | Text, Article |
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| Conference | AIAA Scitech 2019 Forum, 7-11 January 2019, San Diego, Ca. US |
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| Subject | sensor systems; information fusion |
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| Abstract | The National Research Council Canada was tasked to concurrently assess the visibility and audibility of aircraft in the vicinity of low-traffic aerodromes. This paper discusses the efforts to numerically estimate the acoustic propagation of an aircraft’s acoustic signature using the Impedance Plane Formulation and the Fast Field Program. The experimental methodology includes the measurement of lowaltitude aircraft fly-by acoustic spectra as reference data and high-altitude aircraft fly-by acoustic spectra as target data for the acoustic propagation models. It is shown that the selected acoustic atmospheric propagation models are able to accurately estimate certain frequency components of the acoustic spectra for low and high altitudes of flight of the Convair 580 aircraft. Signature aircraft tones located at 70 Hz and 140 Hz are identified by the models and accurately estimated in location and amplitude. The models’ performance is evaluated to a range of 8 km in the horizontal plane and 3.66 km in altitude; the models exhibited reduced performance as a function of distance. A rudimentary subjective analysis was completed to inform future work; results were consistent with the objective analysis. |
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| Publication date | 2019-01-06 |
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| Publisher | American Institute of Aeronautics and Astronautics |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | bb5981b4-1d77-42d1-a4ae-f5713322cc06 |
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| Record created | 2020-11-17 |
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| Record modified | 2021-09-17 |
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