Large region acoustic source mapping using movable arrays

Shengkui Zhao, Thi Ngoc Tho Nguyen, Douglas L Jones

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Mapping environmental noise with high resolution on a large scale (such as a city) is prohibitively expensive with current approaches, which use a large, dense array spanning the entire region of interest, or sequential noise measurements at thousands of locations on a dense grid. We propose instead a new acoustic measurement scheme using a small movable array (for example, mounted on a vehicle driving along the streets of a city) to rapidly acquire measurements at many different locations. A multiple-point sparse constrained deconvolution approach for the mapping of acoustic sources (MPSCDAMAS) and a multiple-point covariance matrix fitting (MPCMF) approach are developed to accurately estimate the locations and powers of stationary noise sources across the region of interest. Computer simulations of large region acoustic mapping demonstrate that superior resolution and much lower power estimation errors are achieved by the proposed approaches compared to the state-of-the-art SC-DAMAS approach and CMF approach.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2589-2593
Number of pages5
ISBN (Electronic)9781467369978
DOIs
StatePublished - Aug 4 2015
Event40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia
Duration: Apr 19 2014Apr 24 2014

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2015-August
ISSN (Print)1520-6149

Other

Other40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
CountryAustralia
CityBrisbane
Period4/19/144/24/14

Fingerprint

Acoustics
Deconvolution
Covariance matrix
Acoustic noise
Error analysis
Computer simulation

Keywords

  • acoustic source mapping
  • microphone arrays
  • source localization

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Zhao, S., Nguyen, T. N. T., & Jones, D. L. (2015). Large region acoustic source mapping using movable arrays. In 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings (pp. 2589-2593). [7178439] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2015-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2015.7178439

Large region acoustic source mapping using movable arrays. / Zhao, Shengkui; Nguyen, Thi Ngoc Tho; Jones, Douglas L.

2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2589-2593 7178439 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2015-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhao, S, Nguyen, TNT & Jones, DL 2015, Large region acoustic source mapping using movable arrays. in 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings., 7178439, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2015-August, Institute of Electrical and Electronics Engineers Inc., pp. 2589-2593, 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015, Brisbane, Australia, 4/19/14. https://doi.org/10.1109/ICASSP.2015.7178439
Zhao S, Nguyen TNT, Jones DL. Large region acoustic source mapping using movable arrays. In 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2589-2593. 7178439. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2015.7178439
Zhao, Shengkui ; Nguyen, Thi Ngoc Tho ; Jones, Douglas L. / Large region acoustic source mapping using movable arrays. 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2589-2593 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).
@inproceedings{589d45b74a43420cb61227e04a5ef45f,
title = "Large region acoustic source mapping using movable arrays",
abstract = "Mapping environmental noise with high resolution on a large scale (such as a city) is prohibitively expensive with current approaches, which use a large, dense array spanning the entire region of interest, or sequential noise measurements at thousands of locations on a dense grid. We propose instead a new acoustic measurement scheme using a small movable array (for example, mounted on a vehicle driving along the streets of a city) to rapidly acquire measurements at many different locations. A multiple-point sparse constrained deconvolution approach for the mapping of acoustic sources (MPSCDAMAS) and a multiple-point covariance matrix fitting (MPCMF) approach are developed to accurately estimate the locations and powers of stationary noise sources across the region of interest. Computer simulations of large region acoustic mapping demonstrate that superior resolution and much lower power estimation errors are achieved by the proposed approaches compared to the state-of-the-art SC-DAMAS approach and CMF approach.",
keywords = "acoustic source mapping, microphone arrays, source localization",
author = "Shengkui Zhao and Nguyen, {Thi Ngoc Tho} and Jones, {Douglas L}",
year = "2015",
month = "8",
day = "4",
doi = "10.1109/ICASSP.2015.7178439",
language = "English (US)",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2589--2593",
booktitle = "2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings",
address = "United States",

}

TY - GEN

T1 - Large region acoustic source mapping using movable arrays

AU - Zhao, Shengkui

AU - Nguyen, Thi Ngoc Tho

AU - Jones, Douglas L

PY - 2015/8/4

Y1 - 2015/8/4

N2 - Mapping environmental noise with high resolution on a large scale (such as a city) is prohibitively expensive with current approaches, which use a large, dense array spanning the entire region of interest, or sequential noise measurements at thousands of locations on a dense grid. We propose instead a new acoustic measurement scheme using a small movable array (for example, mounted on a vehicle driving along the streets of a city) to rapidly acquire measurements at many different locations. A multiple-point sparse constrained deconvolution approach for the mapping of acoustic sources (MPSCDAMAS) and a multiple-point covariance matrix fitting (MPCMF) approach are developed to accurately estimate the locations and powers of stationary noise sources across the region of interest. Computer simulations of large region acoustic mapping demonstrate that superior resolution and much lower power estimation errors are achieved by the proposed approaches compared to the state-of-the-art SC-DAMAS approach and CMF approach.

AB - Mapping environmental noise with high resolution on a large scale (such as a city) is prohibitively expensive with current approaches, which use a large, dense array spanning the entire region of interest, or sequential noise measurements at thousands of locations on a dense grid. We propose instead a new acoustic measurement scheme using a small movable array (for example, mounted on a vehicle driving along the streets of a city) to rapidly acquire measurements at many different locations. A multiple-point sparse constrained deconvolution approach for the mapping of acoustic sources (MPSCDAMAS) and a multiple-point covariance matrix fitting (MPCMF) approach are developed to accurately estimate the locations and powers of stationary noise sources across the region of interest. Computer simulations of large region acoustic mapping demonstrate that superior resolution and much lower power estimation errors are achieved by the proposed approaches compared to the state-of-the-art SC-DAMAS approach and CMF approach.

KW - acoustic source mapping

KW - microphone arrays

KW - source localization

UR - http://www.scopus.com/inward/record.url?scp=84946037712&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84946037712&partnerID=8YFLogxK

U2 - 10.1109/ICASSP.2015.7178439

DO - 10.1109/ICASSP.2015.7178439

M3 - Conference contribution

AN - SCOPUS:84946037712

T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - 2589

EP - 2593

BT - 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

ER -