2015
DOI: 10.1155/2015/512645
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Self-Noise of the MET Angular Motion Seismic Sensors

Abstract: Interest to angular motion seismic sensors is generated by an expectation that direct measurement of the rotations, associated with seismic signals, would allow obtaining more detailed and accurate information from them. Due to the seismic signals low intensity a self-noise of the sensors is one of the most crucial parameters, characterizing their performance. In seismic applications the molecular-electronic transfer (MET) technology is considered as one of the most promising technologies for the rotations mea… Show more

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Cited by 25 publications
(17 citation statements)
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“…The bandwidth, acceleration range, and noise floor levels are listed in columns 2-4. Recalling from Section 5 and Table 12, signals required in passive seismic survey are having maximum acceleration of <80 mg and bandwidth of 1-30 Hz with <4 ng/ √ Hz noise spectral density 22 Journal of Sensors [38,40,154,155]. The data summarized in Table 13 show the superiority of capacitive sensors to meet passive seismic sensing requirements.…”
Section: Technology Gap Of Sensorsmentioning
confidence: 99%
“…The bandwidth, acceleration range, and noise floor levels are listed in columns 2-4. Recalling from Section 5 and Table 12, signals required in passive seismic survey are having maximum acceleration of <80 mg and bandwidth of 1-30 Hz with <4 ng/ √ Hz noise spectral density 22 Journal of Sensors [38,40,154,155]. The data summarized in Table 13 show the superiority of capacitive sensors to meet passive seismic sensing requirements.…”
Section: Technology Gap Of Sensorsmentioning
confidence: 99%
“…For that, standard distribution noise signal was modelled, which is known to have frequency independent spectrum. Noise spectral power density of molecular electronic angular velocity sensor was recognized not to depend on the frequency in units of applied angular acceleration [23]. Correspondingly, the spectral density in units of the measured signal (angular velocity) must be inversely proportional to the frequency.…”
Section: Modelling Of Azimuth Finding Error Determined Bymentioning
confidence: 99%
“…where Ω is the projection of the Earth angular velocity on the rotation plane of the molecular-electronic sensor sensitivity axis, δ is the phase of the output useful signal, ω is the average speed of the platform rotation, U gsens is the parasitic sensor signal, caused by the rotation axis beating, which contribute Journal of Sensors into the system signal due to the sensitivity to linear acceleration and the corresponding changes in the gravity vector projection on the sensitivity axis of the device, U enc is the encoder signal measuring the platform rotational speed over time, α is the deviation angle of the molecular-electronic sensor sensitivity axis from the perpendicular to the platform angular velocity vector (the angle of nonorthogonality), and U noise is the self-noise of an angular sensor, considered in detail in [19,20].…”
Section: Problem Statementmentioning
confidence: 99%