Room shape reconstruction with a single mobile acoustic sensor

Fangrong Peng; Tiexing Wang; Biao Chen

doi:10.1109/GlobalSIP.2015.7418371

Room shape reconstruction with a single mobile acoustic sensor

Fangrong Peng, Tiexing Wang, Biao Chen

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

11 Scopus citations

Abstract

This paper studies the problem of recovering the geometry of a polygonal room via the room impulse response. Specifically, a single mobile node, with co-located loudspeaker and microphone, is deployed and times of arrival of the first-order echoes are used for room shape reconstruction. The uniqueness of the mapping between the first-order echoes and the room geometry is guaranteed for most polygons with one important exception, namely parallelogram. Algorithmic procedure is proposed to eliminate the higher-order echoes and retrieve the room geometry. Numerical simulations are provided to demonstrate the effectiveness of our approach.

Original language	English (US)
Title of host publication	2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1116-1120
Number of pages	5
ISBN (Print)	9781479975914
DOIs	https://doi.org/10.1109/GlobalSIP.2015.7418371
State	Published - Feb 23 2016
Event	IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 - Orlando, United States Duration: Dec 13 2015 → Dec 16 2015

Other

Other	IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
Country/Territory	United States
City	Orlando
Period	12/13/15 → 12/16/15

Keywords

Acoustic echoes
image source model
room shape recovery
time of arrival

ASJC Scopus subject areas

Information Systems
Signal Processing

Access to Document

10.1109/GlobalSIP.2015.7418371

Cite this

Peng, F, Wang, T & Chen, B 2016, Room shape reconstruction with a single mobile acoustic sensor. in 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015., 7418371, Institute of Electrical and Electronics Engineers Inc., pp. 1116-1120, IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015, Orlando, United States, 12/13/15. https://doi.org/10.1109/GlobalSIP.2015.7418371

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abstract = "This paper studies the problem of recovering the geometry of a polygonal room via the room impulse response. Specifically, a single mobile node, with co-located loudspeaker and microphone, is deployed and times of arrival of the first-order echoes are used for room shape reconstruction. The uniqueness of the mapping between the first-order echoes and the room geometry is guaranteed for most polygons with one important exception, namely parallelogram. Algorithmic procedure is proposed to eliminate the higher-order echoes and retrieve the room geometry. Numerical simulations are provided to demonstrate the effectiveness of our approach.",

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N2 - This paper studies the problem of recovering the geometry of a polygonal room via the room impulse response. Specifically, a single mobile node, with co-located loudspeaker and microphone, is deployed and times of arrival of the first-order echoes are used for room shape reconstruction. The uniqueness of the mapping between the first-order echoes and the room geometry is guaranteed for most polygons with one important exception, namely parallelogram. Algorithmic procedure is proposed to eliminate the higher-order echoes and retrieve the room geometry. Numerical simulations are provided to demonstrate the effectiveness of our approach.

AB - This paper studies the problem of recovering the geometry of a polygonal room via the room impulse response. Specifically, a single mobile node, with co-located loudspeaker and microphone, is deployed and times of arrival of the first-order echoes are used for room shape reconstruction. The uniqueness of the mapping between the first-order echoes and the room geometry is guaranteed for most polygons with one important exception, namely parallelogram. Algorithmic procedure is proposed to eliminate the higher-order echoes and retrieve the room geometry. Numerical simulations are provided to demonstrate the effectiveness of our approach.

KW - Acoustic echoes

KW - image source model

KW - room shape recovery

KW - time of arrival

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ER -

Room shape reconstruction with a single mobile acoustic sensor

Abstract

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Keywords

ASJC Scopus subject areas

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