Precession Azimuth Sensing with Low-Noise Molecular Electronics Angular Sensors
Joint Authors
Egorov, Egor V.
Agafonov, Vadim M.
Zaitsev, Dmitry L.
Antonov, Alexander N.
Krishtop, Vladimir G.
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-17
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper describes the use of MET-based low-noise angular motion sensors to precisely determine azimuth direction in a dynamic-scheme method of measuring the Earth’s rotational velocity vector.
The scheme includes sensor installation on a rotating platform so that it could scan the space and seek for the position of the highest Earth’s rotation vector projection on its axis.
This method is very efficient provided a low-noise sensor is used.
A low-cost angular sensor based on MET (molecular electronic transduction) technology has been used.
The sensors of this kind were originally developed for seismic activity monitoring and are well known for very good noise performance and high sensitivity.
This approach, combined with the use of special signal processing algorithms, allowed reaching the accuracy of 0.2°, while the measurement time was less than 100 seconds.
American Psychological Association (APA)
Zaitsev, Dmitry L.& Agafonov, Vadim M.& Egorov, Egor V.& Antonov, Alexander N.& Krishtop, Vladimir G.. 2016. Precession Azimuth Sensing with Low-Noise Molecular Electronics Angular Sensors. Journal of Sensors،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1110539
Modern Language Association (MLA)
Zaitsev, Dmitry L.…[et al.]. Precession Azimuth Sensing with Low-Noise Molecular Electronics Angular Sensors. Journal of Sensors No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1110539
American Medical Association (AMA)
Zaitsev, Dmitry L.& Agafonov, Vadim M.& Egorov, Egor V.& Antonov, Alexander N.& Krishtop, Vladimir G.. Precession Azimuth Sensing with Low-Noise Molecular Electronics Angular Sensors. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1110539
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110539