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)

Preview

Text. Filename: Guarato_etal_IUS_2017_Measured_beam_patterns_of_biomimetic_receivers_improve_localisation_performance_of_an_ultrasonic_sonar.pdf Accepted Author Manuscript Download (392kB)| Preview

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

Windmill, James F C ORCID: https://orcid.org/0000-0003-4878-349X

• Share and Export
  

  RefWorksRIS (EndNote Online, Zotero, Ref manager, etc)RDF+XMLEndNoteASCII CitationOpenURL ContextObject in SpanMPEG-21 DIDLRIOXX2 XMLBibTeXAtomEP3 XMLDublin CoreRDF+N-TriplesMODSHTML CitationJSONData Cite XMLRDF+N3Multiline CSVOpenURL ContextObjectReferSimple MetadataMETS
• Item metadata

  Item type:	Conference or Workshop Item(Paper)
  ID code:	62377
  Dates:	Date Event 2 November 2017 Published 2 November 2017 Published Online 6 June 2017 Accepted
  Notes:	(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 Management
  Depositing 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