An introduction to acoustic location Template-based positioning model

Hongyu You; Ming Yang; Hanchao Li; Kuo Ming Chao; Xiang Fei

doi:10.1016/j.apacoust.2024.110079

An introduction to acoustic location Template-based positioning model

Hongyu You
, Ming Yang
, Hanchao Li
, Kuo Ming Chao
, Xiang Fei

Loughborough University London
University of Roehampton

Research output: Contribution to journal › Article › peer-review

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Abstract

Indoor location information, which is an indispensable label for linking the vast amount of data circulating in the world of IoT, 5G, and AI, is essential. This paper proposes a novel template pattern matching-based acoustic positioning method, Location Template-based Positioning Model, for indoor acoustic source localisation. This innovative technology, similar to the passive SONAR systems on submarines, uses audible acoustic waves to locate acoustic sources in complex indoor environments. The proposed LTPM is a statistical model, and it calculates the coordinates of acoustic sources by matching input acoustic signals with template acoustic signals that are pre-collected from preset locations. A comprehensive overview of the principles and implementations of LTPM is provided, and its feasibility is verified through preliminary positioning tests in this paper. It is hoped to provide research references for the advancement of pattern matching-based acoustic indoor positioning technologies.

Original language	English
Article number	110079
Number of pages	11
Journal	Applied Acoustics
Volume	223
Early online date	1 Jun 2024
DOIs	https://doi.org/10.1016/j.apacoust.2024.110079
Publication status	Published - 5 Jul 2024

Bibliographical note

© 2024 The Authors. Published by Elsevier Ltd.
This is an Open Access article distributed under the terms of the Creative
Commons Attribution License (http://creativecommons.org/licenses/by/4.0/)
Under this licence, users are permitted to share, download, copy, and redistribute the material in any medium or format, and—where applicable—adapt or build upon the work, provided they comply with the conditions of the stated licence

Keywords

Acoustic positioning
Indoor localisation
Template pattern matching

ASJC Scopus subject areas

Acoustics and Ultrasonics

Access to Document

10.1016/j.apacoust.2024.110079Licence: CC BY

You2024VoRFinal published version, 3.71 MBLicence: CC BY

Cite this

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title = "An introduction to acoustic location Template-based positioning model",

abstract = "Indoor location information, which is an indispensable label for linking the vast amount of data circulating in the world of IoT, 5G, and AI, is essential. This paper proposes a novel template pattern matching-based acoustic positioning method, Location Template-based Positioning Model, for indoor acoustic source localisation. This innovative technology, similar to the passive SONAR systems on submarines, uses audible acoustic waves to locate acoustic sources in complex indoor environments. The proposed LTPM is a statistical model, and it calculates the coordinates of acoustic sources by matching input acoustic signals with template acoustic signals that are pre-collected from preset locations. A comprehensive overview of the principles and implementations of LTPM is provided, and its feasibility is verified through preliminary positioning tests in this paper. It is hoped to provide research references for the advancement of pattern matching-based acoustic indoor positioning technologies.",

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AU - Li, Hanchao

AU - Chao, Kuo Ming

AU - Fei, Xiang

N1 - © 2024 The Authors. Published by Elsevier Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) Under this licence, users are permitted to share, download, copy, and redistribute the material in any medium or format, and—where applicable—adapt or build upon the work, provided they comply with the conditions of the stated licence

PY - 2024/7/5

Y1 - 2024/7/5

N2 - Indoor location information, which is an indispensable label for linking the vast amount of data circulating in the world of IoT, 5G, and AI, is essential. This paper proposes a novel template pattern matching-based acoustic positioning method, Location Template-based Positioning Model, for indoor acoustic source localisation. This innovative technology, similar to the passive SONAR systems on submarines, uses audible acoustic waves to locate acoustic sources in complex indoor environments. The proposed LTPM is a statistical model, and it calculates the coordinates of acoustic sources by matching input acoustic signals with template acoustic signals that are pre-collected from preset locations. A comprehensive overview of the principles and implementations of LTPM is provided, and its feasibility is verified through preliminary positioning tests in this paper. It is hoped to provide research references for the advancement of pattern matching-based acoustic indoor positioning technologies.

AB - Indoor location information, which is an indispensable label for linking the vast amount of data circulating in the world of IoT, 5G, and AI, is essential. This paper proposes a novel template pattern matching-based acoustic positioning method, Location Template-based Positioning Model, for indoor acoustic source localisation. This innovative technology, similar to the passive SONAR systems on submarines, uses audible acoustic waves to locate acoustic sources in complex indoor environments. The proposed LTPM is a statistical model, and it calculates the coordinates of acoustic sources by matching input acoustic signals with template acoustic signals that are pre-collected from preset locations. A comprehensive overview of the principles and implementations of LTPM is provided, and its feasibility is verified through preliminary positioning tests in this paper. It is hoped to provide research references for the advancement of pattern matching-based acoustic indoor positioning technologies.

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ER -

An introduction to acoustic location Template-based positioning model

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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