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Real-time identification of aircraft sound events
Metropolitan airports constitute an environmental nuisance, mainly due to noise pollution originating from aircraft landings and takeoffs, affecting the wellbeing of the airports’ neighboring populations. Noise measurement is considered the fundamental means to evaluate, enforce, validate, and contr...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481859/ https://www.ncbi.nlm.nih.gov/pubmed/32929318 http://dx.doi.org/10.1016/j.trd.2020.102527 |
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author | Giladi, Ran |
author_facet | Giladi, Ran |
author_sort | Giladi, Ran |
collection | PubMed |
description | Metropolitan airports constitute an environmental nuisance, mainly due to noise pollution originating from aircraft landings and takeoffs, affecting the wellbeing of the airports’ neighboring populations. Noise measurement is considered the fundamental means to evaluate, enforce, validate, and control noise abatement. Noise measurements performed by sound monitors located close to urban airports are often disrupted by urban background noise that interferes with aircraft sounds. Detecting aircraft noise, classifying, identifying, and separating it from the residual background noise is a challenge for unattended aircraft noise monitors. This paper suggests a simple and inexpensive methodology, based on ADS-B (Automatic Dependent Surveillance-Broadcast), which can facilitate isolating aircraft noise from background noise. Experiments showed that using ADS-B driven noise monitors is at least as accurate as the commonly used radar–driven noise monitors, in terms of true positive, false positive, or false negative detection during the examined periods. |
format | Online Article Text |
id | pubmed-7481859 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74818592020-09-10 Real-time identification of aircraft sound events Giladi, Ran Transp Res D Transp Environ Article Metropolitan airports constitute an environmental nuisance, mainly due to noise pollution originating from aircraft landings and takeoffs, affecting the wellbeing of the airports’ neighboring populations. Noise measurement is considered the fundamental means to evaluate, enforce, validate, and control noise abatement. Noise measurements performed by sound monitors located close to urban airports are often disrupted by urban background noise that interferes with aircraft sounds. Detecting aircraft noise, classifying, identifying, and separating it from the residual background noise is a challenge for unattended aircraft noise monitors. This paper suggests a simple and inexpensive methodology, based on ADS-B (Automatic Dependent Surveillance-Broadcast), which can facilitate isolating aircraft noise from background noise. Experiments showed that using ADS-B driven noise monitors is at least as accurate as the commonly used radar–driven noise monitors, in terms of true positive, false positive, or false negative detection during the examined periods. Elsevier Ltd. 2020-10 2020-09-10 /pmc/articles/PMC7481859/ /pubmed/32929318 http://dx.doi.org/10.1016/j.trd.2020.102527 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Giladi, Ran Real-time identification of aircraft sound events |
title | Real-time identification of aircraft sound events |
title_full | Real-time identification of aircraft sound events |
title_fullStr | Real-time identification of aircraft sound events |
title_full_unstemmed | Real-time identification of aircraft sound events |
title_short | Real-time identification of aircraft sound events |
title_sort | real-time identification of aircraft sound events |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481859/ https://www.ncbi.nlm.nih.gov/pubmed/32929318 http://dx.doi.org/10.1016/j.trd.2020.102527 |
work_keys_str_mv | AT giladiran realtimeidentificationofaircraftsoundevents |