2018
DOI: 10.1109/jsen.2018.2850065
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Performance Evaluation of a Low-Cost Sensing Unit for Seismic Applications: Field Testing During Seismic Events of 2016-2017 in Central Italy

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Cited by 22 publications
(19 citation statements)
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“…4 NUMERICAL SIMULATION In order to verify the ability of the vibration analysis algorithm to extract the evolution in time of a vibration from the radar trace, a Matlab simulation was first performed. In order to represent a realistic trend, the data of a real earthquake, which occurred in Perugia on 30 October 2016, acquired through seismic accelerometers, were taken into consideration [7]. On the basis of the acceleration data, the displacement signal, that is the entity of the vibration, was obtained through a double integration.…”
Section: The Fmcw Radarmentioning
confidence: 99%
“…4 NUMERICAL SIMULATION In order to verify the ability of the vibration analysis algorithm to extract the evolution in time of a vibration from the radar trace, a Matlab simulation was first performed. In order to represent a realistic trend, the data of a real earthquake, which occurred in Perugia on 30 October 2016, acquired through seismic accelerometers, were taken into consideration [7]. On the basis of the acceleration data, the displacement signal, that is the entity of the vibration, was obtained through a double integration.…”
Section: The Fmcw Radarmentioning
confidence: 99%
“…According to these guidelines, a low-cost sensing unit for seismic applications, based on MEMS accelerometers, performed a long series of tests and was compared with a reference station (Pierleoni et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…For all these reasons, micro accelerometers (Kavitha et al, 2012(Kavitha et al, , 2016 and calibration methods (D'Emilia et al, 2018a, b) have been specifically designed for the low-frequency range, but they are limited to the amplitude evaluation. The phase evaluation is important in such applications, in which the overlapping effects of the waves can produce very different consequences (Pierleoni et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
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