Title :
Signal-to-noise ratio evaluation for embedded wireless sensor nodes: A novel methodology
Author :
Barboni, Leonardo ; Valle, Maurizio
Author_Institution :
Multi-Sensors Lab. DIBE, Univ. of Genoa, Genoa, Italy
Abstract :
This article proposes a general methodology for evaluating the signal-to-noise ratio (SNR) of data acquisition systems in wireless sensors nodes. This methodology enables designers to evaluate the SNR regardless of non-stationary sensor signals behaviour (with unknown signal shapes) or voltage supply decrease due to battery depletion. The proposed methodology provides criteria to modify signal features and data acquisition system parameters for achieving SNR values that assure numerical stability of the algorithms implemented into the node. Validation measurements and an application example are presented.
Keywords :
data acquisition; numerical stability; signal processing; wireless sensor networks; SNR values; battery depletion; data acquisition systems; digital signal processing algorithms; embedded wireless sensor nodes; numerical stability; signal-to-noise ratio evaluation; Batteries; Data acquisition; Design methodology; Numerical stability; Sensor systems; Shape; Signal design; Signal to noise ratio; Voltage; Wireless sensor networks;
Conference_Titel :
Electronics, Circuits, and Systems, 2009. ICECS 2009. 16th IEEE International Conference on
Conference_Location :
Yasmine Hammamet
Print_ISBN :
978-1-4244-5090-9
Electronic_ISBN :
978-1-4244-5091-6
DOI :
10.1109/ICECS.2009.5410820