Aircraft noise monitoring using multiple passive data streams
Autor: | Hirenkumar Patel, M Aldeman, G Raman, R Bacchus, Dennis Roberson, Kanthasamy Chelliah |
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Rok vydání: | 2016 |
Předmět: |
Engineering
Acoustics and Ultrasonics Aircraft noise Data stream mining business.industry Mechanical Engineering Real-time computing ComputerApplications_COMPUTERSINOTHERSYSTEMS Condensed Matter Physics Tracking (particle physics) 01 natural sciences 03 medical and health sciences 0302 clinical medicine Mechanics of Materials 0103 physical sciences Electronic engineering General Materials Science 030223 otorhinolaryngology business 010301 acoustics |
Zdroj: | Noise & Vibration Worldwide. 47:35-45 |
ISSN: | 2048-4062 0957-4565 |
DOI: | 10.1177/0957456516663329 |
Popis: | Monitoring of aircraft in the skies surrounding an airport is important to ensure the safety of the aircraft as well as quality of life for nearby residents. The traditional method of tracking aircraft position involves the ubiquitous rotating active radar, and the traditional method of monitoring aircraft noise is the single omnidirectional microphone. Both of these systems have significant disadvantages. In the past several decades, microphone array acoustic monitoring systems have become widely known although they are typically practical only for research purposes. More recently, advanced beamforming algorithms have set the stage for much smaller compact microphone arrays. Meanwhile, the Automatic Dependent Surveillance-Broadcast position tracking system has quickly risen in popularity. In this study, an advanced compact microphone array is used along with Automatic Dependent Surveillance-Broadcast and more conventional methods to monitor and track aircraft that are approaching and departing Chicago’s Midway Airport. The systems are portable and compact, and the unified streams of data can more fully characterize an individual aircraft, offering distinct advantages over existing monitoring systems. |
Databáze: | OpenAIRE |
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