Recurrent DQN for radio fingerprinting with constrained measurements collection

In this paper, we address the problem of fingerprinting-based radio localization with a particular focus on the measurements collection part. We consider the crucial circumstance where the operator that builds the fingerprinting map by collecting measurements can only travel a limited distance. We p...

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Autors principals:	Nicola Novello, Andrea M. Tonello
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2025-02-01
Col·lecció:	ICT Express
Matèries:	Radio localization Radio fingerprinting Indoor localization Deep reinforcement learning Deep learning Fingerprinting
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2405959524000882
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