Motion noise reduction in drone magnetometry using a dead-zone-free total-field magnetometer system
| Autor: | Rui Zhang, Frederick Hanselmann, Ryan Fochs, Matthew Lawrence, Kevin Hurley, Mark Prouty |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | The Leading Edge. 41:481-485 |
| ISSN: | 1938-3789 1070-485X |
| DOI: | 10.1190/tle41070481.1 |
| Popis: | In recent years, drone magnetometry has gained popularity in geophysics mainly due to its time efficiency and low cost in acquiring magnetic data over large areas. In drone magnetometry, a total-field magnetometer is usually suspended from a drone to avoid magnetic interference from the drone. Therefore, the magnetometer can experience uncontrolled yaw-pitch-roll rotations during flight. As a result, both the dead zone and the heading effects of total-field magnetometers pose significant challenges in drone magnetometry. The former causes the magnetic field readings to drop out, while the latter leads to significant motion-induced magnetic noise. We study a commercially available magnetometer system for drone magnetometry. This system eliminates the dead-zone effect by having two orthogonally oriented sensors operating simultaneously. The combined single-output magnetometer is intrinsically dead zone free, but it still has the heading effect. We investigate a compensation method to mitigate the heading effect. Heading-effect calibration data are first collected and then applied to magnetic survey data. Our study shows that the heading-induced motion noise can be suppressed by an order of magnitude through this method. Peak-to-peak noise of 0.2 nT is demonstrated for survey data at a 20 Hz sample rate. This advance overcomes a fundamental challenge in drone magnetometry and could make drone magnetometry the technique of choice for future magnetic surveys. |
| Databáze: | OpenAIRE |
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