磁强计
电磁干扰
声学
干扰(通信)
灵敏度(控制系统)
电磁场
有效载荷(计算)
计算机科学
电磁屏蔽
物理
磁场
电气工程
电子工程
工程类
电信
计算机网络
量子力学
频道(广播)
网络数据包
作者
Callum Walter,Alexander Braun,G. Fotopoulos
出处
期刊:Geophysics
[Society of Exploration Geophysicists]
日期:2021-07-23
卷期号:86 (6): J21-J32
被引量:23
标识
DOI:10.1190/geo2020-0895.1
摘要
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.
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