Measured beam patterns of biomimetic receivers improve localisation performance of an ultrasonic sonar
Guarato, Francesco and Strang-Moran, Charlotte and Windmill, James F C (2017) Measured beam patterns of biomimetic receivers improve localisation performance of an ultrasonic sonar. In: 2017 IEEE International Ultrasonics Symposium, IUS 2017, 2017-09-06 - 2017-09-09. (https://doi.org/10.1109/ULTSYM.2017.8091933)
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Abstract
The Beam Based Method (BBM) is a novel sonar system inspired by bat echolocation for a sonar system with one emitter and two receivers. Knowledge of the beam pattern of the receivers makes it possible to estimate the orientation of a reflecting target. In this paper, the beam pattern of four biomimetic receivers is included in the sonar system model to test which one makes the BBM localization method most accurate. Simulations are designed in MatLab and, along with the sonar system, they also model ultrasonic emission, reflection by a target and filtering through the receivers' beam pattern. All receivers are associated with similar error values in estimating target orientation. This sonar system will be built and mounted on robots for non-destructive evaluations.
ORCID iDs
Guarato, Francesco, Strang-Moran, Charlotte and Windmill, James F C ORCID: https://orcid.org/0000-0003-4878-349X;-
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Item type: Conference or Workshop Item(Paper) ID code: 62377 Dates: DateEvent2 November 2017Published2 November 2017Published Online6 June 2017AcceptedNotes: (c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 15 Nov 2017 14:41 Last modified: 19 Nov 2024 01:29 URI: https://strathprints.strath.ac.uk/id/eprint/62377