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

Tomoya Tachikawa, Kohei Yatabe, Yasuhiro Oikawa

    研究成果: Conference contribution

    9 被引用数 (Scopus)

    抄録

    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.

    本文言語English
    ホスト出版物のタイトル2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ3191-3195
    ページ数5
    ISBN(電子版)9781509041176
    DOI
    出版ステータスPublished - 2017 6 16
    イベント2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - New Orleans, United States
    継続期間: 2017 3 52017 3 9

    Other

    Other2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
    CountryUnited States
    CityNew Orleans
    Period17/3/517/3/9

    ASJC Scopus subject areas

    • Software
    • Signal Processing
    • Electrical and Electronic Engineering

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