An architecture for passive joint localization and structure learning in reverberant environments
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665_1_10.0016999.pdf
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Author(s)
Arikan, Toros
Weiss, Amir
Vishnu, Hari
Deane, Grant B.
Singer, Andrew C.
Wornell, Gregory W.
Date Issued
January 1, 2023
Publisher
Acoustical Society of America (ASA)
Citation
Toros Arikan, Amir Weiss, Hari Vishnu, Grant B. Deane, Andrew C. Singer, Gregory W. Wornell; An architecture for passive joint localization and structure learning in reverberant environments. J. Acoust. Soc. Am. 1 January 2023; 153 (1): 665–677.
Version
Final published version
Abstract
Passive localization and tracking of a mobile emitter, and joint learning of its reverberant three-dimensional (3D) acoustic environment, where critical structural features are unknown, is a key open problem. Unaccounted-for occluders are potentially present, so that the emitter can lose line-of-sight to the receivers, and can only be observed through its reflected raypaths. The locations of reflective boundaries must therefore be jointly estimated with the emitter's position. A multistage global optimization and tracking architecture is developed to solve this problem with a relatively unconstrained model. Each stage of this architecture establishes domain knowledge such as synchronization and initial environment estimation, which are inputs for the following stages of more refined algorithms. This approach is generalizable to different physical scales and modalities and improves on methods that do not exploit the motion of the emitter. In one stage of this architecture, particle swarm optimization is used to simultaneously estimate the environment and the emitter location. In another stage, a Hough transform-inspired boundary localization algorithm is extended to 3D settings, to establish an initial estimate of the environment. The performance of this holistic approach is analyzed and its reliability is demonstrated in a reverberant watertank testbed, which models the shallow-water underwater acoustic setting.
Subjects
Acoustics and Ultrasonics
Arts and Humanities (miscellaneous)
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1121/10.0016999
