First-author poster. Testing a spectral-domain mitigation algorithm on e-POP/Swarm-Echo data and on a laboratory dataset where both the noise and the geophysical signal are known.
Magnetic interference mitigation for onboard spacecraft instruments is essential to accurate geophysical magnetometer data. Separating the interference caused by the spacecraft from the geophysical background signal is an active research area. We address this using signal processing techniques across both the time and frequency domains. A case study of our algorithm, focusing on topological connectivity in the spectral domain, was performed on the e-POP/Swarm-Echo mission. However, there was no proper way to evaluate whether the algorithm preserved the geophysical signal correctly. A new laboratory-generated dataset that mimics noise sources such as the reaction wheel was created at the University of Iowa and further developed at Goddard. We present how our algorithm performed in multiple scenarios where both the noise signature and the simulated geophysical signature are known. From there we determine the limitations of our algorithm and pinpoint specific cases that may interest other noise mitigation developers.
Funding: U.S. Air Force Office of Scientific Research grant FA9550-21-1-0206. The e-POP/Swarm-Echo mission is supported by the European Space Agency's Third Party Mission Programme. Data: https://epopdata.phys.ucalgary.ca/
