In-Situ Calibration of the Swarm-Echo Magnetometers

Broadfoot, Robert M.; Miles, David M.; Holley, Warren; Howarth, Andrew

doi:10.5194/egusphere-2022-59

Cited by 3 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Specifically, the e‐POP/Swarm‐Echo magnetic field data appears to be contaminated with stray field from three primary sources: quasi‐static fields generated by ferromagnetic materials onboard the spacecraft; quasi‐sinusoidal field generated by the spacecraft's reaction wheels; and time‐varying field generated by spacecraft subsystem currents. The quasi‐static fields are most easily removed by in situ calibration (e.g., Broadfoot et al., 2022) and are not discussed throughout the remainder of this manuscript. Instead, this manuscript is focused on the removal of the quasi‐sinusoidal reaction wheel signals, since they are a constantly present feature inherent to the spacecraft's operation.…”

Section: Introductionmentioning

confidence: 99%

Identification and Removal of Reaction Wheel Interference From In‐Situ Magnetic Field Data Using Multichannel Singular Spectrum Analysis

et al. 2023

Self Cite

View full text Add to dashboard Cite

In order to observe and study the magnetic fields near Earth, high-quality magnetic field measurements are necessary. However, the spacecraft carrying magnetic field sensors are often magnetically noisy-they produce stray magnetic fields that contaminate the measurements. One dominant noise source on many spacecrafts are the systems that control the orientation of the spacecraft. This manuscript presents a novel approach to the suppression of magnetic interference caused by these systems, improving the quality of acquired data. Specifically, a technique for the simultaneous separation of multiple measurements into physically meaningful components is combined with an automated component selection technique. This allows for a high-quality estimate of the spacecraft noise to be generated and subsequently removed from magnetic field measurements, greatly improving the data quality. For example, an interval of data captured by the CASSIOPE/Swarm-Echo satellite was shown to have its local interference reduced by an average of 89%.

show abstract

Section: Introductionmentioning

confidence: 99%

Identification and Removal of Reaction Wheel Interference From In‐Situ Magnetic Field Data Using Multichannel Singular Spectrum Analysis

et al. 2023

Self Cite

View full text Add to dashboard Cite

show abstract

“…CC BY 4.0 License. sources can include the battery and solar panel systems used to provide the spacecraft's power, the reaction wheels and magnetorquers used to control the spacecraft's attitude, and even the ferromagnetic materials used in the construction of the spacecraft itself (e.g., Broadfoot et al, 2022;Stolle et al, 2021;Styp-Rekowski et al, 2022). Historically, this interference has 35 been mitigated by placing the magnetic field sensor at the end of a long boom, increasing the physical distance from the spacecraft and its associated magnetic noise sources.…”

Section: Introductionmentioning

confidence: 99%

Enabling In-Situ Magnetic Interference Mitigation Algorithm Validation via a Laboratory-Generated Dataset

Finley,

Flores,

Morris

et al. 2024

Preprint

View full text Add to dashboard Cite

Abstract. Magnetometer measurements are one of the critical components necessary to improve our understanding of the intricate physical processes coupling mass, momentum, and energy within near-Earth space and throughout our solar system. However, these measurements are often contaminated by stray magnetic fields from the spacecraft hosting the magnetic field sensors, and the data often requires the application of interference mitigation algorithms prior to scientific use. Rigorous numerical validation of these techniques can be challenging when they are applied to in-situ spaceflight data, as a ground truth for the local magnetic field is often unavailable. This manuscript introduces and details the generation of an open-source dataset designed to facilitate the assessment of interference mitigation techniques for magnetic field data collected during spaceflight missions. The dataset contains over 100 hours of magnetic field data comprising mixtures of near-DC trends, physically-synthesized interference, and pseudo-geophysical phenomena. These constituent source signals have been independently captured by four synchronized magnetometers sampling at high cadence and combined into 30-minute intervals of data representative of events and interference seen in historic missions. The physical location of the four magnetometers relative to the interference sources enables researchers to test their interference mitigation algorithms with various magnetometer suite configurations, and the dataset also provides a ground truth for the underlying interference signals, enabling rigorous quantification of the results of past, present, and future interference mitigation efforts.

show abstract

“…Specifically, the e-POP/Swarm-Echo magnetic field data appears to be contaminated with stray field from three primary sources: quasi-static fields generated by ferromagnetic materials onboard the spacecraft; quasi-sinusoidal field generated by the spacecraft's reaction wheels; and time-varying field generated by spacecraft subsystem currents. The quasi-static fields are most easily re-moved by in-situ calibration (e.g., Broadfoot et al (2022)) and are not discussed throughout the remainder of this manuscript. Instead, this manuscript is focused on the removal of the quasi-sinusoidal reaction wheel signals, since they are a constantly-present feature inherent to the spacecraft's operation.…”

Section: Introductionmentioning

confidence: 99%

Identification and Removal of Reaction Wheel Interference from In-Situ Magnetic Field Data using Multichannel Singular Spectrum Analysis

Finley

Broadfoot

Shekhar

et al. 2022

Preprint

View full text Add to dashboard Cite

In-situ magnetic field measurements are critical to our understanding of a variety of space physics phenomena including fieldaligned currents and plasma waves. Unfortunately, high-fidelity magnetometer measurements are often degraded by stray magnetic fields from the host spacecraft, its subsystems, and other instruments. One dominant source of magnetic interference on many missions are reaction wheels -spinning platters of varying rates used to control spacecraft attitude. This manuscript presents a novel approach to the mitigation of reaction wheel interference on magnetometer measurements aboard spacecraft where multiple magnetometer sensors are deployed. Specifically, multichannel singular spectrum analysis is employed to decompose multiple time series simultaneously. A technique for automatic component selection is proposed that classifies the decomposed signals into common geophysical signals and disparate locally generated signals enabling the robust estimation and removal of the local interference without requiring any assumptions about its characteristics or source. The utility of this proposed method is demonstrated empirically using in-situ data from the CASSIOPE/Swarm-Echo mission, and a data interval with near-constant background field was shown to have its local reaction wheel interference reduced from 1.90 nT RMS, for the uncorrected outboard sensor, to 0.21 nT RMS (an 89.0\% reduction). This technique can be generalized to arrays of more than two sensors, and should apply to additional types of magnetic interference.

show abstract

In-Situ Calibration of the Swarm-Echo Magnetometers

Cited by 3 publications

References 10 publications

Identification and Removal of Reaction Wheel Interference From In‐Situ Magnetic Field Data Using Multichannel Singular Spectrum Analysis

Identification and Removal of Reaction Wheel Interference From In‐Situ Magnetic Field Data Using Multichannel Singular Spectrum Analysis

Enabling In-Situ Magnetic Interference Mitigation Algorithm Validation via a Laboratory-Generated Dataset

Identification and Removal of Reaction Wheel Interference from In-Situ Magnetic Field Data using Multichannel Singular Spectrum Analysis

Contact Info

Product

Resources

About