Detection of Metal Objects using Magnetic Sensors attached to a Drone
(2023) In Master's Theses in Mathematical Sciences FMSM01 20231Mathematical Statistics
- Abstract
- The aim of this project is to develop a method to detect metal objects with measurements from a magnetic sensor that is attached to a drone. This is challenging due to disturbances from currents and metal parts in the drone and the measuring equipment as well as the influence of the Earth's magnetic field. The measurements are also negatively affected by instability in the drone due to, for example, wind. The detection problem is solved using different types of signal processing. First, a lowpass filter is applied in order to remove noise from currents and other unwanted high frequency signals. Then, the contribution from the Earth's magnetic field is removed using a moving average filter. Lastly, the detection variable is formed as a... (More)
- The aim of this project is to develop a method to detect metal objects with measurements from a magnetic sensor that is attached to a drone. This is challenging due to disturbances from currents and metal parts in the drone and the measuring equipment as well as the influence of the Earth's magnetic field. The measurements are also negatively affected by instability in the drone due to, for example, wind. The detection problem is solved using different types of signal processing. First, a lowpass filter is applied in order to remove noise from currents and other unwanted high frequency signals. Then, the contribution from the Earth's magnetic field is removed using a moving average filter. Lastly, the detection variable is formed as a generalized likelihood ratio test by estimating the noise variance and the signal variance. Results show that detection can be done with a true positive rate of at least 0.95 for velocities up to 1.25 m/s when measuring metal objects with a magnetic dipole moment above 0.10 Am^2 at 0.5 m height, above 0.40 Am^2 at 0.75 m height, and above 1.02 Am^2 at 1 m height. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9125171
- author
- Nauta, Talitha Taapke LU
- supervisor
- organization
- alternative title
- Detektion av metallobjekt med hjälp av magnetsensorer på drönare
- course
- FMSM01 20231
- year
- 2023
- type
- H2 - Master's Degree (Two Years)
- subject
- publication/series
- Master's Theses in Mathematical Sciences
- report number
- LUTFMS-3482-2023
- ISSN
- 1404-6342
- other publication id
- 2023:E53
- language
- English
- id
- 9125171
- date added to LUP
- 2023-06-15 10:24:40
- date last changed
- 2023-06-19 13:58:36
@misc{9125171,
abstract = {{The aim of this project is to develop a method to detect metal objects with measurements from a magnetic sensor that is attached to a drone. This is challenging due to disturbances from currents and metal parts in the drone and the measuring equipment as well as the influence of the Earth's magnetic field. The measurements are also negatively affected by instability in the drone due to, for example, wind. The detection problem is solved using different types of signal processing. First, a lowpass filter is applied in order to remove noise from currents and other unwanted high frequency signals. Then, the contribution from the Earth's magnetic field is removed using a moving average filter. Lastly, the detection variable is formed as a generalized likelihood ratio test by estimating the noise variance and the signal variance. Results show that detection can be done with a true positive rate of at least 0.95 for velocities up to 1.25 m/s when measuring metal objects with a magnetic dipole moment above 0.10 Am^2 at 0.5 m height, above 0.40 Am^2 at 0.75 m height, and above 1.02 Am^2 at 1 m height.}},
author = {{Nauta, Talitha Taapke}},
issn = {{1404-6342}},
language = {{eng}},
note = {{Student Paper}},
series = {{Master's Theses in Mathematical Sciences}},
title = {{Detection of Metal Objects using Magnetic Sensors attached to a Drone}},
year = {{2023}},
}