This paper addresses the problems of sensor localization and multi-target tracking in multi-agent networks, with primary focus on the maritime environment. Agents have access to navigation and communication measurements to reconstruct the network geometry, and at the same time exploit indirect echos of the communication signal to detect passive targets. The proposed solution merges the self-localization and tracking tasks in a single methodology based on the belief propagation algorithm. Validation on experimental measurements collected in an underwater environment proves the efficacy of the proposed solution.

Sensors Localization and Target Tracking in Underwater Environment via Belief Propagation

Brambilla M.;Nicoli M.;
2021

Abstract

This paper addresses the problems of sensor localization and multi-target tracking in multi-agent networks, with primary focus on the maritime environment. Agents have access to navigation and communication measurements to reconstruct the network geometry, and at the same time exploit indirect echos of the communication signal to detect passive targets. The proposed solution merges the self-localization and tracking tasks in a single methodology based on the belief propagation algorithm. Validation on experimental measurements collected in an underwater environment proves the efficacy of the proposed solution.
Proceedings - IEEE Military Communications Conference MILCOM
978-1-6654-3956-5
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1199624
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