Distance scaling method for accurate prediction of slowly varying magnetic fields in satellite missions
In the present work, the determination of the magnetic behavior of localized magnetic sources from near-field measurements is examined. The distance power law of the magnetic field fall-off is used in various cases to accurately predict the magnetic signature of an equipment under test (EUT) consist...
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2016-07-01
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Online Access: | http://www.geosci-instrum-method-data-syst.net/5/281/2016/gi-5-281-2016.pdf |
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doaj-6153eeaedae34dbabe4285c0b5bd36872020-11-24T23:44:51ZengCopernicus PublicationsGeoscientific Instrumentation, Methods and Data Systems2193-08562193-08642016-07-015228128810.5194/gi-5-281-2016Distance scaling method for accurate prediction of slowly varying magnetic fields in satellite missionsP. P. Zacharias0E. G. Chatzineofytou1S. T. Spantideas2C. N. Capsalis3National Technical University of Athens, 15780, Athens, GreeceNational Technical University of Athens, 15780, Athens, GreeceNational Technical University of Athens, 15780, Athens, GreeceNational Technical University of Athens, 15780, Athens, GreeceIn the present work, the determination of the magnetic behavior of localized magnetic sources from near-field measurements is examined. The distance power law of the magnetic field fall-off is used in various cases to accurately predict the magnetic signature of an equipment under test (EUT) consisting of multiple alternating current (AC) magnetic sources. Therefore, parameters concerning the location of the observation points (magnetometers) are studied towards this scope. The results clearly show that these parameters are independent of the EUT's size and layout. Additionally, the techniques developed in the present study enable the placing of the magnetometers close to the EUT, thus achieving high signal-to-noise ratio (SNR). Finally, the proposed method is verified by real measurements, using a mobile phone as an EUT.http://www.geosci-instrum-method-data-syst.net/5/281/2016/gi-5-281-2016.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
P. P. Zacharias E. G. Chatzineofytou S. T. Spantideas C. N. Capsalis |
spellingShingle |
P. P. Zacharias E. G. Chatzineofytou S. T. Spantideas C. N. Capsalis Distance scaling method for accurate prediction of slowly varying magnetic fields in satellite missions Geoscientific Instrumentation, Methods and Data Systems |
author_facet |
P. P. Zacharias E. G. Chatzineofytou S. T. Spantideas C. N. Capsalis |
author_sort |
P. P. Zacharias |
title |
Distance scaling method for accurate prediction of slowly varying magnetic
fields in satellite missions |
title_short |
Distance scaling method for accurate prediction of slowly varying magnetic
fields in satellite missions |
title_full |
Distance scaling method for accurate prediction of slowly varying magnetic
fields in satellite missions |
title_fullStr |
Distance scaling method for accurate prediction of slowly varying magnetic
fields in satellite missions |
title_full_unstemmed |
Distance scaling method for accurate prediction of slowly varying magnetic
fields in satellite missions |
title_sort |
distance scaling method for accurate prediction of slowly varying magnetic
fields in satellite missions |
publisher |
Copernicus Publications |
series |
Geoscientific Instrumentation, Methods and Data Systems |
issn |
2193-0856 2193-0864 |
publishDate |
2016-07-01 |
description |
In the present work, the determination of the magnetic behavior of
localized magnetic sources from near-field measurements is examined. The
distance power law of the magnetic field fall-off is used in various cases
to accurately predict the magnetic signature of an equipment under test
(EUT) consisting of multiple alternating current (AC) magnetic sources. Therefore, parameters concerning the location of the observation points (magnetometers) are studied towards this scope. The results clearly show that these parameters are independent of the EUT's size and layout. Additionally, the techniques developed in the present study enable the placing of the magnetometers close to the EUT, thus achieving high signal-to-noise ratio (SNR). Finally, the
proposed method is verified by real measurements, using a mobile phone as an
EUT. |
url |
http://www.geosci-instrum-method-data-syst.net/5/281/2016/gi-5-281-2016.pdf |
work_keys_str_mv |
AT ppzacharias distancescalingmethodforaccuratepredictionofslowlyvaryingmagneticfieldsinsatellitemissions AT egchatzineofytou distancescalingmethodforaccuratepredictionofslowlyvaryingmagneticfieldsinsatellitemissions AT stspantideas distancescalingmethodforaccuratepredictionofslowlyvaryingmagneticfieldsinsatellitemissions AT cncapsalis distancescalingmethodforaccuratepredictionofslowlyvaryingmagneticfieldsinsatellitemissions |
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1725498254101053440 |