Structured sparse methods for active ocean observation systems with communication constraints


Actuated sensor networks enabled by underwater acoustic communications will be efficiently used to sense over large marine expanses that are sometimes challenged by a paucity of resources (energy, communication bandwidth, number of sensor nodes). Several marine phenomena of interest admit sparse representations, which, as well as actuation and cooperation, can complete being information starved. Herein, new methods of field reconstruction, target tracking, and exploration-exploitation are provided, that adopt sparse approximation, compressed sensing, and matrix completion algorithms. The needed underlying structure (sparsity/low-rank) is kind of general. The unique constraints posed by underwater acoustic communications and vehicle kinematics are explicitly considered. Results show that solutions will be practically implemented, even over massive ocean spaces.

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