Characterizing electromagnetic interference signals for unmanned aerial vehicle geophysical surveys

Author:

Walter Callum1ORCID,Braun Alexander1ORCID,Fotopoulos Georgia1

Affiliation:

1. Queen’s University, Department of Geological Sciences and Geological Engineering, Kingston, Ontario K7L 3N6, Canada.(corresponding author); .

Abstract

The development of a functional unmanned aerial vehicle (UAV) mounted aeromagnetic system requires integrating a magnetometer payload onboard a UAV platform in a manner that preserves the integrity of the total magnetic field measurements. One challenge when developing these systems is accounting for the sources of in-flight magnetic and electromagnetic interference signals that are greater than the resolvability threshold of the magnetometer. Electromagnetic interference generated by the platform has the potential to be mitigated using several techniques such as magnetic shielding, filtering, or compensation and can be attenuated by strategically positioning the magnetometer at a distance from the UAV. The integration procedure and selection of a mitigation strategy can be informed by characterizing the electromagnetic interference generated by the platform. Scalogram analysis is used to characterize the high-frequency electromagnetic signals generated by multirotor UAV electromagnetic motors. A low-sensitivity (7 nT) vector, fluxgate magnetometer is used to measure the electromagnetic interference generated by two unique multirotor UAVs in a controlled laboratory setting. Results demonstrate three spectrally distinct electromagnetic signals, each with unique frequency and amplitude, generated by each UAV platform. The frequency of these electromagnetic interference signals is found to be directly proportional to the applied rotation frequency of the electromagnetic motor. The aforementioned knowledge is applied to UAV field surveys to assess the high-frequency electromagnetic interference signals experienced. This is achieved using a high sensitivity (0.01 nT), scalar optically pumped magnetometer with a 1000 Hz sampling frequency. Our results indicate that adequate sensor placement and preflight evaluation of the platform-sensor interactions provide useful mitigation strategies, which can compensate for electromagnetic interference signals generated by the UAV platform during aeromagnetic surveys.

Funder

Society of Exploration Geophysicists

NSERC - Natural Sciences and Engineering Research Council

Society of Economic Geologists Canada Foundation

Canadian Society of Exploration Geophysicists

Publisher

Society of Exploration Geophysicists

Subject

Geochemistry and Petrology,Geophysics

Reference39 articles.

1. Geological Survey of Canada aeromagnetic surveys: design, quality assurance, and data dissemination

2. Aeromagnetic Surveying with a Rotary-Wing Unmanned Aircraft System: A Case Study from a Zinc Deposit in Nash Creek, New Brunswick, Canada

3. Derammelaere, S., M. Haemers, J. De Viaene, F. Verbelen, and K. Stockman, 2016, A quantitative comparison between BLDC, PMSM, brushed DC and stepping motor technologies: 19th International Conference on Electrical Machines and Systems (ICEMS), 1–5, https://ieeexplore.ieee.org/document/7837471, accessed 5 September 2020.

4. Successful application of drone-based aeromagnetic surveys to locate legacy oil and gas wells in Cattaraugus county, New York

5. Unmanned Airborne Magnetic and VLF Investigations: Effective Geophysical Methodology for the Near Future

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