Characterizing Electromagnetic Interference Signals for Unmanned Aerial Vehicle Geophysical Surveys

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 was employed to characterize the high-frequency electromagnetic signals generated by a multi-rotor UAV\x92s electromagnetic motors. A low sensitivity (7 nT) vector, fluxgate magnetometer was used to measure the electromagnetic interference generated by two unique multi-rotor UAVs in a controlled lab setting. Results demonstrated three spectrally distinct electromagnetic signals, each with unique frequency and amplitude, generated by each UAV platform. The frequency of these electromagnetic interference signals was found to be directly proportional to the applied rotation frequency of the electromagnetic motor. The aforementioned knowledge was applied to UAV field surveys to assess the high-frequency electromagnetic interference signals experienced. This was achieved by using a high sensitivity (0.01 nT), scalar optically pumped magnetometer with a 1000 Hz sampling frequency. The results show that adequate sensor placement and pre-flight 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.