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

    2 Citations (Scopus)

    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.

    Original languageEnglish
    Pages (from-to)267-281
    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

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