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Magnetic gradiometry using frequency-domain filtering

Authors :
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Ream, Jodie B
Weiss, Benjamin P
Oran, Rona
Raymond, Carol A
Polanskey, Carol A
Wenkert, Daniel D
Elkins-Tanton, Linda T
Hart, Richard A
Russell, Christopher T
Merayo, Jose MG
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Ream, Jodie B
Weiss, Benjamin P
Oran, Rona
Raymond, Carol A
Polanskey, Carol A
Wenkert, Daniel D
Elkins-Tanton, Linda T
Hart, Richard A
Russell, Christopher T
Merayo, Jose MG
Source :
IOP Publishing
Publication Year :
2023

Abstract

<jats:title>Abstract</jats:title> <jats:p>Accurate measurements of ambient planetary and interplanetary magnetic fields using spacecraft magnetometers typically require accounting for interfering magnetic fields generated by the flight system (FS). The most common method for removing FS-generated time-variable magnetic fields is narrow-band and low-pass filtering of magnetic field data in the frequency domain. However, if fluctuations in the ambient field contain frequencies overlapping those in the FS field, it can be difficult to construct a filter that will not affect both signals. Here we present an alternate method for removing FS time-variable signatures from magnetic field measurements. For spacecraft that make use of a magnetic gradiometer (i.e. with two or more instruments on a boom at different distances from the center of the spacecraft), the dominant frequencies in the FS field can be identified using spectra of the differenced field components. The amplitudes of the FS field at those frequencies can then be suppressed without removing spectral peaks present in the ambient field. We demonstrate the successful application of this method, referred to as gradiometry peak suppression, both to modeled data sets and to 128 Hz Venus Express magnetometer data.</jats:p>

Details

Database :
OAIster
Journal :
IOP Publishing
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1379078772
Document Type :
Electronic Resource