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Magnetic gradiometry using frequency-domain filtering

Author(s)
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; ... Show more Show less
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Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/
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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>
Date issued
2022
URI
https://hdl.handle.net/1721.1/148215
Department
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Journal
Measurement Science and Technology
Publisher
IOP Publishing
Citation
Ream, Jodie B, Weiss, Benjamin P, Oran, Rona, Raymond, Carol A, Polanskey, Carol A et al. 2022. "Magnetic gradiometry using frequency-domain filtering." Measurement Science and Technology, 33 (1).
Version: Final published version

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