3D direction of arrival estimation and localization using ultrasonic sensors in an anechoic chamber

Kunin, V. N.; Jia, Weidi; Turqueti, Marcos; Saniie, Jafar; Oruklu, Erdal

doi:10.1109/ultsym.2011.0184

Cited by 7 publications

(5 citation statements)

References 7 publications

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“…It assumes that the receivers are far enough away from the source to allow the spherical wave propagation being approximated by planes. [16]. By estimating the speed of sound underwater, fixing the inter-receiver distance and by assuming clock-synchronization of the receivers, the angle of the direction of the source to each receiver can be estimated.…”

Section: Angle Of Arrivalmentioning

confidence: 99%

Underwater Acoustic Location Estimation of Flight Recorder Using Onboard Ad Hoc Wireless Sensor Network

Wiepking,

Greef,

Ozcelebi

2022

2022 IEEE Ocean Engineering Technology and Innovation Conference: Management and Conservation for Sustainable and Resilient Mar

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Underwater Wireless Sensor Networks (UWSN) are an upcoming technology for various underwater applications, such as environment monitoring and localization of objects. An important use case for underwater object localization is locating the underwater locator beacon (ULB) of a flight recorder, commonly known as a 'black box', after the unfortunate event of an oceanic flight crash. Current technology for finding this black box uses hydrophone-equipped vessels or autonomous underwater vehicles (AUV). To increase the probability of finding the black box using these technologies, a well-estimated position of the flight crash is required which is not always available after oceanic crashes. Also, these technologies need to travel to the crash location which takes time and complicates the search process. To circumvent these problems, this study presents an alternative approach to locating the sinking black box using an UWSN onboard of the aircraft that starts deploying in the ocean after the detection of an oceanic crash event. By registering acoustic ping signals of the ULB, the nodes in the network collaboratively estimate the source location using a Time-Difference of Arrival (TDoA) approach. Underwater nodes are used to extend network coverage to deep-ocean levels and communicate their findings by utilizing wireless acoustic modems. Use of the underwater acoustic medium imposes various challenges such as a slow propagation speed that changes over depth, limited bandwidth and multipath propagation. In this study a set of strategies is introduced to be incorporated in a UWSN that collectively enables localization of the ULB while taking into account the complexities imposed by the underwater acoustic medium. Also a set of communication and scheduling protocols are included that tailor the network hierarchy. To assess the performance of onboard UWSN-based black box localization, a custom Underwater Acoustic Localization Simulator (UWALSim) is built that utilizes BELLHOP for realistic underwater sound propagation modelling. Furthermore, the simulator can detect signal collisions, simulate noise on the acoustic channel and models energy consumption of nodes in the network. Several crash scenarios and variations in self-positioning performance have been used to assess the performance of this approach on localizing the black box. These results show that proper self-positioning is crucial to successfully locate the black box. Also partial deployment of the network in the ocean before the wreckage with the black box starts sinking is highly preferable. When satisfying the requirements in self-positioning performance and partial network deployment, the network is able to locate the black box with an error less than 50 meters for at least 75% of the transmitted ULB pings on a 10-second ping interval. Depending on the scenario, experimental results show that this approach provides accurate black box location estimations after 5-25 minutes since the wreckage with the black box started sinking. Therefore, an onboard ad-hoc UWSN he...

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Section: Angle Of Arrivalmentioning

confidence: 99%

Underwater Acoustic Location Estimation of Flight Recorder Using Onboard Ad Hoc Wireless Sensor Network

Wiepking,

Greef,

Ozcelebi

2022

2022 IEEE Ocean Engineering Technology and Innovation Conference: Management and Conservation for Sustainable and Resilient Mar

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“…They designed an anechoic chamber to ensure a clean environment during the experimental tests from external noises and reverberation echoes. The system is used for object localization and direction of arrival estimation using different sensors geometries [13].…”

Section: Review Of Literaturementioning

confidence: 99%

Triad system for object's 3D localization using low-resolution 2D ultrasonic sensor array

Abu-Qasmieh

Alqudah

2020

International Review of Applied Sciences and Engineering

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In the recently published researches in the object localization field, 3D object localization takes the largest part of this research due to its importance in our daily life. 3D object localization has many applications such as collision avoidance, robotic guiding and vision and object surfaces topography modeling. This research study represents a novel localization algorithm and system design using a low-resolution 2D ultrasonic sensor array for 3D real-time object localization. A novel localization algorithm is developed and applied to the acquired data using the three sensors having the minimum calculated distances at each acquired sample, the algorithm was tested on objects at different locations in 3D space and validated with acceptable level of precision and accuracy. Polytope Faces Pursuit (PFP) algorithm was used for finding an approximate sparse solution to the object location from the measured three minimum distances. The proposed system successfully localizes the object at different positions with an error average of ±1.4 mm, ±1.8 mm, and ±3.7 mm in x-direction, y-direction, and z-direction, respectively, which are considered as low error rates.

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“…There is currently a significant amount of research and numerous applications which use sound or ultrasound for communications, detection and analysis. Some of the research topics are multiparty telecommunications, hands-free acoustic human-machine interfaces, computer games, dictation systems, hearing-aids, medical diagnostics, structural failure analysis of buildings or bridges, and mechanical failure analysis of machines such as vehicle or aircraft, and robotic vision, navigation and automation (Alghassi 2008, Eckert et al 2011, Kim et al 2011, Llata et al 2002, Nishitani et al 2005, Kunin et al 2010, Kunin et al 2011. In practice, there are a large number of issues encountered in the real world environment which make the realistic applications of this theory significantly more difficult (Shaw 2002, Brandstein and Ward 2001, Rabinkin et al 1996.…”

Section: Fundamentals Of Acoustic Sensor Arrays and Applicationsmentioning

confidence: 99%

Smart acoustic sensor array (SASA) system for real-time sound processing applications

Turqueti

Oruklu

Saniie

2014

Smart Sensors and Mems

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3D direction of arrival estimation and localization using ultrasonic sensors in an anechoic chamber

Cited by 7 publications

References 7 publications

Underwater Acoustic Location Estimation of Flight Recorder Using Onboard Ad Hoc Wireless Sensor Network

Underwater Acoustic Location Estimation of Flight Recorder Using Onboard Ad Hoc Wireless Sensor Network

Triad system for object's 3D localization using low-resolution 2D ultrasonic sensor array

Smart acoustic sensor array (SASA) system for real-time sound processing applications

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