Abstract:
We demonstrate magnetic anomaly detection (MAD) using an array of 24 commercial induction coil magnetometers with stand-off distances from a pulsed 99.8(3) kA\cdotm$^{2...Show MoreMetadata
Abstract:
We demonstrate magnetic anomaly detection (MAD) using an array of 24 commercial induction coil magnetometers with stand-off distances from a pulsed 99.8(3) kA\cdotm^{2} magnetic dipole source of 260–1200 m. The sparse array is used to estimate the magnetic dipole location, magnitude, and orientation. We demonstrate how independent component analysis (ICA) improves the accuracy and precision of the magnetometer array when estimating the dipole parameters. Using sensor responses recorded from individual source pulses, we estimate the dipole location to within 29\pm 2 m, the magnitude to within 3\pm 3 kA\cdotm^{2}, and dipole orientation error to within 19\pm 0.6^{\circ }.
Published in: IEEE Sensors Letters ( Volume: 9, Issue: 2, February 2025)
Sandia National Laboratories, Albuquerque, NM, USA
Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto, Finland
Sandia National Laboratories, Albuquerque, NM, USA
Lawrence Livermore National Laboratory, Livermore, CA, USA
Los Alamos National Laboratory, Los Alamos, NM, USA
Sandia National Laboratories, Albuquerque, NM, USA
Sandia National Laboratories, Albuquerque, NM, USA
Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Aalto, Finland
Sandia National Laboratories, Albuquerque, NM, USA
Lawrence Livermore National Laboratory, Livermore, CA, USA
Los Alamos National Laboratory, Los Alamos, NM, USA
Sandia National Laboratories, Albuquerque, NM, USA