Coherence-adjusted monopole dictionary and convex clustering for 3D localization of mixed near-field and far-field sources

Tomoya Tachikawa; Kohei Yatabe; Yasuhiro Oikawa

doi:10.1109/ICASSP.2017.7952745

Coherence-adjusted monopole dictionary and convex clustering for 3D localization of mixed near-field and far-field sources

Tomoya Tachikawa, Kohei Yatabe, Yasuhiro Oikawa

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

9 Citations (Scopus)

Abstract

In this paper, 3D 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 positions based on an extension of the convex clustering method combined with sparse coefficients estimation. A method for constructing a suitable monopole dictionary based on coherence is also proposed so that the convex clustering based method appropriately estimate distance of sound sources. Numerical experiments of distance estimation and 3D localization show possibility of the proposed method.

Original language	English
Title of host publication	2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3191-3195
Number of pages	5
ISBN (Electronic)	9781509041176
DOIs	https://doi.org/10.1109/ICASSP.2017.7952745
Publication status	Published - 2017 Jun 16
Event	2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - New Orleans, United States Duration: 2017 Mar 5 → 2017 Mar 9

Other

Other	2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
Country/Territory	United States
City	New Orleans
Period	17/3/5 → 17/3/9

Keywords

convex optimization
direction-of-arrival (DOA)
distance estimation
primal-dual splitting
Sparsity

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.2017.7952745

Cite this

Tachikawa, T., Yatabe, K., & Oikawa, Y. (2017). Coherence-adjusted monopole dictionary and convex clustering for 3D localization of mixed near-field and far-field sources. In 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings (pp. 3191-3195). [7952745] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2017.7952745

Coherence-adjusted monopole dictionary and convex clustering for 3D localization of mixed near-field and far-field sources. / Tachikawa, Tomoya; Yatabe, Kohei; Oikawa, Yasuhiro.

2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 3191-3195 7952745.

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

Tachikawa, T, Yatabe, K & Oikawa, Y 2017, Coherence-adjusted monopole dictionary and convex clustering for 3D localization of mixed near-field and far-field sources. in 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings., 7952745, Institute of Electrical and Electronics Engineers Inc., pp. 3191-3195, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017, New Orleans, United States, 17/3/5. https://doi.org/10.1109/ICASSP.2017.7952745

Tachikawa T, Yatabe K, Oikawa Y. Coherence-adjusted monopole dictionary and convex clustering for 3D localization of mixed near-field and far-field sources. In 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 3191-3195. 7952745 doi: 10.1109/ICASSP.2017.7952745

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Coherence-adjusted monopole dictionary and convex clustering for 3D localization of mixed near-field and far-field sources

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