3D sound source localization based on coherence-adjusted monopole dictionary and modified convex clustering

Tomoya Tachikawa, Kohei Yatabe, Yasuhiro Oikawa

Research output: Contribution to journalArticle

Abstract

In this paper, a sound source localization method for simultaneously estimating both direction-of-arrival (DOA) and distance from the microphone array is proposed. For estimating distance, the off-grid problem must be overcome because the range of distance to be considered is quite broad and even not bounded. The proposed method estimates the positions based on a modified version of the convex clustering method combined with the sparse coefficients estimation. A method for constructing a suitable monopole dictionary based on the coherence is also proposed so that the convex clustering based method can appropriately estimate distance of the sound sources. Numerical and measurement experiments were performed to investigate the performance of the proposed method.

LanguageEnglish
Pages267-281
Number of pages15
JournalApplied Acoustics
Volume139
DOIs
Publication statusPublished - 2018 Oct 1

Fingerprint

dictionaries
monopoles
acoustics
estimating
estimates
microphones
arrivals
grids
coefficients

Keywords

  • Convex optimization
  • Direction-of-arrival (DOA)
  • Distance estimation
  • Primal-dual splitting
  • Sparsity

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Cite this

3D sound source localization based on coherence-adjusted monopole dictionary and modified convex clustering. / Tachikawa, Tomoya; Yatabe, Kohei; Oikawa, Yasuhiro.

In: Applied Acoustics, Vol. 139, 01.10.2018, p. 267-281.

Research output: Contribution to journalArticle

@article{bb31891c99b64125afa471ecfd0320af,
title = "3D sound source localization based on coherence-adjusted monopole dictionary and modified convex clustering",
abstract = "In this paper, a sound source localization method for simultaneously estimating both direction-of-arrival (DOA) and distance from the microphone array is proposed. For estimating distance, the off-grid problem must be overcome because the range of distance to be considered is quite broad and even not bounded. The proposed method estimates the positions based on a modified version of the convex clustering method combined with the sparse coefficients estimation. A method for constructing a suitable monopole dictionary based on the coherence is also proposed so that the convex clustering based method can appropriately estimate distance of the sound sources. Numerical and measurement experiments were performed to investigate the performance of the proposed method.",
keywords = "Convex optimization, Direction-of-arrival (DOA), Distance estimation, Primal-dual splitting, Sparsity",
author = "Tomoya Tachikawa and Kohei Yatabe and Yasuhiro Oikawa",
year = "2018",
month = "10",
day = "1",
doi = "10.1016/j.apacoust.2018.04.033",
language = "English",
volume = "139",
pages = "267--281",
journal = "Applied Acoustics",
issn = "0003-682X",
publisher = "Elsevier Limited",

}

TY - JOUR

T1 - 3D sound source localization based on coherence-adjusted monopole dictionary and modified convex clustering

AU - Tachikawa, Tomoya

AU - Yatabe, Kohei

AU - Oikawa, Yasuhiro

PY - 2018/10/1

Y1 - 2018/10/1

N2 - In this paper, a sound source localization method for simultaneously estimating both direction-of-arrival (DOA) and distance from the microphone array is proposed. For estimating distance, the off-grid problem must be overcome because the range of distance to be considered is quite broad and even not bounded. The proposed method estimates the positions based on a modified version of the convex clustering method combined with the sparse coefficients estimation. A method for constructing a suitable monopole dictionary based on the coherence is also proposed so that the convex clustering based method can appropriately estimate distance of the sound sources. Numerical and measurement experiments were performed to investigate the performance of the proposed method.

AB - In this paper, a sound source localization method for simultaneously estimating both direction-of-arrival (DOA) and distance from the microphone array is proposed. For estimating distance, the off-grid problem must be overcome because the range of distance to be considered is quite broad and even not bounded. The proposed method estimates the positions based on a modified version of the convex clustering method combined with the sparse coefficients estimation. A method for constructing a suitable monopole dictionary based on the coherence is also proposed so that the convex clustering based method can appropriately estimate distance of the sound sources. Numerical and measurement experiments were performed to investigate the performance of the proposed method.

KW - Convex optimization

KW - Direction-of-arrival (DOA)

KW - Distance estimation

KW - Primal-dual splitting

KW - Sparsity

UR - http://www.scopus.com/inward/record.url?scp=85046954051&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85046954051&partnerID=8YFLogxK

U2 - 10.1016/j.apacoust.2018.04.033

DO - 10.1016/j.apacoust.2018.04.033

M3 - Article

VL - 139

SP - 267

EP - 281

JO - Applied Acoustics

T2 - Applied Acoustics

JF - Applied Acoustics

SN - 0003-682X

ER -