Archivio Istituzionale della RicercaIn this paper, we consider the problem of RSS-fingerprinting localization in wireless sensor networks. In particular, inspired by the recent advances in sparse approximation and compressive sensing theory, we propose a localization scheme based on the dictionary design of block-sparse signals. We show via numerical simulations and real experiments that the proposed technique outperforms traditional fingerprinting methods.
Dictionary Design for Sensor Network Localization via Block-Sparsity / Bay, Alessandro; Carrera, D.; Fosson, Sophie; Fragneto, P.; Grella, M.; Ravazzi, Chiara; Magli, Enrico. - ELETTRONICO. - (2015), pp. 1-6. (Intervento presentato al convegno 2015 IEEE International Workshop on Multimedia Signal Processing nel 2015) [10.1109/MMSP.2015.7340843].
Dictionary Design for Sensor Network Localization via Block-Sparsity
BAY, ALESSANDRO;FOSSON, SOPHIE;RAVAZZI, CHIARA;MAGLI, ENRICO
2015
Abstract
In this paper, we consider the problem of RSS-fingerprinting localization in wireless sensor networks. In particular, inspired by the recent advances in sparse approximation and compressive sensing theory, we propose a localization scheme based on the dictionary design of block-sparse signals. We show via numerical simulations and real experiments that the proposed technique outperforms traditional fingerprinting methods.
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MMSP15_Localization.pdf
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https://hdl.handle.net/11583/2638702
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