Informed Nonnegative Matrix Factorization Methods for Mobile Sensor Network Calibration

In this paper, we consider the problem of blindly calibrating a mobile sensor network-i.e., determining the gain and the offset of each sensor-from heterogeneous observations on a defined spatial area over time. For that purpose, we propose to revisit blind sensor calibration as an informed nonnegat...

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Veröffentlicht in:	IEEE transactions on signal and information processing over networks 2018-12, Vol.4 (4), p.667-682
Hauptverfasser:	Dorffer, Clement, Puigt, Matthieu, Delmaire, Gilles, Roussel, Gilles
Format:	Artikel
Sprache:	eng
Schlagworte:	Atmospheric modeling Calibration Computer Science Electronic mail Geology Information processing matrix completion mobile crowdsensing mobile sensor calibration Nonnegative matrix factorization Signal and Image Processing Sparse representation wireless sensor network
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