Acoustic Sensors for Air and Surface Navigation Applications

This paper presents the state-of-the-art and reviews the state-of-research of acoustic sensors used for a variety of navigation and guidance applications on air and surface vehicles. In particular, this paper focuses on echolocation, which is widely utilized in nature by certain mammals (e.g., cetac...

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Main Authors: Rohan Kapoor, Subramanian Ramasamy, Alessandro Gardi, Ron Van Schyndel, Roberto Sabatini
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/18/2/499
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author Rohan Kapoor
Subramanian Ramasamy
Alessandro Gardi
Ron Van Schyndel
Roberto Sabatini
author_facet Rohan Kapoor
Subramanian Ramasamy
Alessandro Gardi
Ron Van Schyndel
Roberto Sabatini
author_sort Rohan Kapoor
collection DOAJ
description This paper presents the state-of-the-art and reviews the state-of-research of acoustic sensors used for a variety of navigation and guidance applications on air and surface vehicles. In particular, this paper focuses on echolocation, which is widely utilized in nature by certain mammals (e.g., cetaceans and bats). Although acoustic sensors have been extensively adopted in various engineering applications, their use in navigation and guidance systems is yet to be fully exploited. This technology has clear potential for applications in air and surface navigation/guidance for intelligent transport systems (ITS), especially considering air and surface operations indoors and in other environments where satellite positioning is not available. Propagation of sound in the atmosphere is discussed in detail, with all potential attenuation sources taken into account. The errors introduced in echolocation measurements due to Doppler, multipath and atmospheric effects are discussed, and an uncertainty analysis method is presented for ranging error budget prediction in acoustic navigation applications. Considering the design challenges associated with monostatic and multi-static sensor implementations and looking at the performance predictions for different possible configurations, acoustic sensors show clear promises in navigation, proximity sensing, as well as obstacle detection and tracking. The integration of acoustic sensors in multi-sensor navigation systems is also considered towards the end of the paper and a low Size, Weight and Power, and Cost (SWaP-C) sensor integration architecture is presented for possible introduction in air and surface navigation systems.
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spelling doaj.art-bb876796763f441781fea428352077252022-12-22T02:56:26ZengMDPI AGSensors1424-82202018-02-0118249910.3390/s18020499s18020499Acoustic Sensors for Air and Surface Navigation ApplicationsRohan Kapoor0Subramanian Ramasamy1Alessandro Gardi2Ron Van Schyndel3Roberto Sabatini4School of Engineering, RMIT University, Aerospace Engineering and Aviation Discipline, Bundoora VIC 3083, AustraliaSchool of Engineering, RMIT University, Aerospace Engineering and Aviation Discipline, Bundoora VIC 3083, AustraliaSchool of Engineering, RMIT University, Aerospace Engineering and Aviation Discipline, Bundoora VIC 3083, AustraliaSchool of Science, RMIT University, Computer Science and Information Technology Discipline, Melbourne 3000, AustraliaSchool of Engineering, RMIT University, Aerospace Engineering and Aviation Discipline, Bundoora VIC 3083, AustraliaThis paper presents the state-of-the-art and reviews the state-of-research of acoustic sensors used for a variety of navigation and guidance applications on air and surface vehicles. In particular, this paper focuses on echolocation, which is widely utilized in nature by certain mammals (e.g., cetaceans and bats). Although acoustic sensors have been extensively adopted in various engineering applications, their use in navigation and guidance systems is yet to be fully exploited. This technology has clear potential for applications in air and surface navigation/guidance for intelligent transport systems (ITS), especially considering air and surface operations indoors and in other environments where satellite positioning is not available. Propagation of sound in the atmosphere is discussed in detail, with all potential attenuation sources taken into account. The errors introduced in echolocation measurements due to Doppler, multipath and atmospheric effects are discussed, and an uncertainty analysis method is presented for ranging error budget prediction in acoustic navigation applications. Considering the design challenges associated with monostatic and multi-static sensor implementations and looking at the performance predictions for different possible configurations, acoustic sensors show clear promises in navigation, proximity sensing, as well as obstacle detection and tracking. The integration of acoustic sensors in multi-sensor navigation systems is also considered towards the end of the paper and a low Size, Weight and Power, and Cost (SWaP-C) sensor integration architecture is presented for possible introduction in air and surface navigation systems.http://www.mdpi.com/1424-8220/18/2/499acoustic sensorsintelligent transport systemsnavigationindoor navigationultrasonicspersonal mobilityaerospaceground vehicles
spellingShingle Rohan Kapoor
Subramanian Ramasamy
Alessandro Gardi
Ron Van Schyndel
Roberto Sabatini
Acoustic Sensors for Air and Surface Navigation Applications
Sensors
acoustic sensors
intelligent transport systems
navigation
indoor navigation
ultrasonics
personal mobility
aerospace
ground vehicles
title Acoustic Sensors for Air and Surface Navigation Applications
title_full Acoustic Sensors for Air and Surface Navigation Applications
title_fullStr Acoustic Sensors for Air and Surface Navigation Applications
title_full_unstemmed Acoustic Sensors for Air and Surface Navigation Applications
title_short Acoustic Sensors for Air and Surface Navigation Applications
title_sort acoustic sensors for air and surface navigation applications
topic acoustic sensors
intelligent transport systems
navigation
indoor navigation
ultrasonics
personal mobility
aerospace
ground vehicles
url http://www.mdpi.com/1424-8220/18/2/499
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AT subramanianramasamy acousticsensorsforairandsurfacenavigationapplications
AT alessandrogardi acousticsensorsforairandsurfacenavigationapplications
AT ronvanschyndel acousticsensorsforairandsurfacenavigationapplications
AT robertosabatini acousticsensorsforairandsurfacenavigationapplications