Data-Driven Localization and Structure Learning in Reverberant Underwater Acoustic Environments
Passive localization and tracking of a mobile emitter, and the joint learning of its reverberant 3D environment, are important yet challenging tasks in the shallow-water underwater acoustic setting. A typical application is the monitoring of submarines or other man-made emitters with a small, surrep...
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/151431 https://orcid.org/0000-0001-8748-5060 |