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dc.contributor.authorRypkema, Nicholas R.  Concept link
dc.contributor.authorFischell, Erin M.  Concept link
dc.contributor.authorSchmidt, Henrik  Concept link
dc.date.accessioned2021-03-15T19:42:47Z
dc.date.available2021-06-07T06:17:26Z
dc.date.issued2020-12-07
dc.identifier.citationRypkema, N. R., Fischell, E. M., & Schmidt, H. (2020). Memory-efficient approximate three-dimensional beamforming. Journal of the Acoustical Society of America, 148(6), 3467-3480.en_US
dc.identifier.urihttps://hdl.handle.net/1912/26804
dc.descriptionAuthor Posting. © Acoustical Society of America, 2020. This article is posted here by permission of Acoustical Society of America for personal use, not for redistribution. The definitive version was published in Journal of the Acoustical Society of America 148(6), (2020): 3467-3480, doi:10.1121/10.0002852.en_US
dc.description.abstractLocalization of acoustic sources using a sensor array is typically performed by estimating direction-of-arrival (DOA) via beamforming of the signals recorded by all elements. Software-based conventional beamforming (CBF) forces a trade-off between memory usage and direction resolution, since time delays associated with a set of directions over which the beamformer is steered must be pre-computed and stored, limiting the number of look directions to available platform memory. This paper describes a DOA localization method that is memory-efficient for three-dimensional (3D) beamforming applications. Its key lies in reducing 3D look directions [described by azimuth/inclination angles (ϕ, θ) when considering the array as a whole] to a single variable (a conical angle, ζ) by treating the array as a collection of sensor pairs. This insight reduces the set of look directions from two dimensions to one, enabling computational and memory efficiency improvements and thus allowing direction resolution to be increased. This method is described and compared to CBF, with comparisons provided for accuracy, computational speedup, and memory usage. As this method involves the incoherent summation of sensor pair outputs, gain is limited, restricting its use to localization of strong sources—e.g., for real-time acoustic localization on embedded systems, where computation and/or memory are limited.en_US
dc.description.sponsorshipThis work was partially supported by the Office of Naval Research, the Defense Advanced Research Projects Agency, and Lincoln Laboratory.en_US
dc.publisherAcoustical Society of Americaen_US
dc.relation.urihttps://doi.org/10.1121/10.0002852
dc.titleMemory-efficient approximate three-dimensional beamformingen_US
dc.typeArticleen_US
dc.description.embargo2021-06-07en_US
dc.identifier.doi10.1121/10.0002852


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