Magnetic Signature Attenuation of an Unmanned Aircraft System for Aeromagnetic Survey

Forrester, Robert; Huq, M. S.; Ahmadi, Mojtaba; Straznicky, P. V.

doi:10.1109/tmech.2013.2285224

Cited by 36 publications

(29 citation statements)

References 15 publications

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“…Such a level of noise would be high enough to have a deleterious effect on the signal recorded during both TMI and transverse gradiometer surveying. In post-processing, a Genetic Algorithm Magnetic Signature Optimization (GAMSO) strategy reduced the noise measured by the starboard and port magnetometers by up to 98.8% and 85.8%, respectively (Forrester et al 2012) (Table 1). Even after the GAMSO correction, however, the static noise level was deemed to be too high to simulate its effect on the sUAS data.…”

Section: Magnetic Noisementioning

confidence: 99%

Aeromagnetic surveying using a simulated unmanned aircraft system

Caron

Samson

Straznicky

et al. 2013

Geophysical Prospecting

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Carleton University and Sander Geophysics are developing an unmanned aircraft system (UAS) for aeromagnetic surveying. As an early indication of the expected performance of the unmanned aircraft system, a simulated unmanned aircraft system (sUAS) was built. The simulated unmanned aircraft system is a T‐shaped structure configured as a horizontal gradiometer with two cesium magnetometers spaced 4.67 m apart, which is the same sensor geometry as planned for the unmanned aircraft system. The simulated unmanned aircraft system is flown suspended beneath a helicopter. An 8.5 km2 area in the Central Metasedimentary Belt of the Grenville Province, near Plevna, Ontario, Canada, was surveyed with the simulated unmanned aircraft system suspended 50 m above ground. The survey site was chosen on the basis of its complex geological structure. The total magnetic intensity (TMI) data recorded were compared to that obtained during a conventional fixed‐wing survey and a ground survey. Transverse magneto‐gradiometric data were also recorded by the simulated unmanned aircraft system. The simulated unmanned aircraft system total magnetic intensity data have a higher resolution than the conventional fixed‐wing data and were found to have a similar resolution to that of the ground survey data. The advantages of surveying with the simulated unmanned aircraft system were: (1) the acquisition of a detailed data set free of gaps in coverage at a low altitude above the terrain and (2) substantial saving of time and effort. In the survey site, the 4.67 m simulated unmanned aircraft system gradiometer measured the transverse magnetic gradient reliably up to an altitude of 150 m above ground.

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Section: Magnetic Noisementioning

confidence: 99%

Aeromagnetic surveying using a simulated unmanned aircraft system

Caron

Samson

Straznicky

et al. 2013

Geophysical Prospecting

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“…First, permanent and induced magnetization of materials can generate strong fields. These materials are often located in the propulsion motor(s), control servo(s) and other iron alloy components (Wells 2008;Forrester et al 2014). Second, magnetic interference results from electronic systems where fields increase in strength with increased current.…”

Section: Introductionmentioning

confidence: 99%

Real‐time compensation of magnetic data acquired by a single‐rotor unmanned aircraft system

Tuck

Samson

Polowick

et al. 2019

Geophysical Prospecting

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Two methods for low‐altitude calibration of a single‐rotor unmanned aircraft system using a real‐time compensator are tested: (1) a stationary calibration where the unmanned aircraft system executes manoeuvres while hovering in order to minimize ambient field changes due to the local geology; and (2) an adapted box calibration flown in four orthogonal directions. Both methods use two compensator‐specific limits derived from established methods for manned airborne calibration: the lowest frequency used by the compensator for the calibration algorithm and the maximum variation of the ambient magnetic intensity experienced by the unmanned aircraft system during calibration. Prior to flying, the unmanned aircraft system was magnetically characterized using the heading error and fourth difference. Magnetic interference was mitigated by extending the magnetometer‐unmanned aircraft system separation distance to 1.7 m, shielding, and demagnetization. The stationary calibration yielded an improvement ratio of 8.595 and a standard deviation of the compensated total magnetic intensity of 0.075 nT (estimated Figure‐of‐Merit of 3.8 nT). The box calibration also yielded an improvement ratio of 3.989 and a standard deviation of the compensated total magnetic intensity of 0.083 nT (estimated Figure‐of‐Merit of 4.2 nT). The stationary and box calibration solutions were robust with low cross‐correlation indexes (1.090 and 1.048, respectively) when applied to a non‐native data set.

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“…Yet the issue of interference has slowed UAS acceptance as an alternative method for surveying by the exploration industry. UAS interference is an issue frequently cited in literature (Funaki and Hirasawa 2008;Kaneko et al 2011;Koyama et al 2013;Forrester et al 2014;Funaki et al 2014;Sterligov and Cherkasov 2016;Parvar et al 2018). These levels typically exceed the aeromagnetic specifications of noise generated by manned aircraft (Table 1-1) (Teskey 1991;Coyle et al 2014) and limits the sensitivity of the surveys.…”

Section: Uas Magnetic Surveyingmentioning

confidence: 99%

Characterization and compensation of magnetic interference resulting from unmanned aircraft systems

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Magnetic Signature Attenuation of an Unmanned Aircraft System for Aeromagnetic Survey

Cited by 36 publications

References 15 publications

Aeromagnetic surveying using a simulated unmanned aircraft system

Aeromagnetic surveying using a simulated unmanned aircraft system

Real‐time compensation of magnetic data acquired by a single‐rotor unmanned aircraft system

Characterization and compensation of magnetic interference resulting from unmanned aircraft systems

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