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    Bayesian framework for direction of arrival analysis using spherical harmonics

    Author
    Weikel, Stephen
    View/Open
    179721_Weikel_rpi_0185N_11560.pdf (5.004Mb)
    Other Contributors
    Xiang, Ning; Braasch, Jonas; Perry, Chris (Christopher S.);
    Date Issued
    2019-08
    Subject
    Architectural sciences
    Degree
    MS;
    Terms of Use
    This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.;
    Metadata
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    URI
    https://hdl.handle.net/20.500.13015/2418
    Abstract
    This work discusses a system of Direction of Arrival (DoA) analysis for an unknown number of sources using spherical beamforming and Bayesian inference with a spherical microphone array. In this system, sound pressure data is collected by the spherical array and processed using beamforming techniques in the spherical harmonic domain. A two-tiered framework of Bayesian inference is then used to evaluate analytic models against the beamformed data in order to determine the number, DoA(s), and strength(s) of the detected sources. Two series of tests are conducted: one sets out to determine the performance of this algorithm when two sources are close together and the other to evaluate its performance in a reverberant environment. Results showed that the performance of the system degrades when sources are closer than 45° to one another and that it fails to distinguish sources at 15°. Additionally, the algorithm failed to identify or locate a single sound source in an environment featuring significant reverberation.;
    Description
    August 2019; School of Architecture
    Department
    School of Architecture;
    Publisher
    Rensselaer Polytechnic Institute, Troy, NY
    Relationships
    Rensselaer Theses and Dissertations Online Collection;
    Access
    Restricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.;
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