An Adaptive Filter for Aeromagnetic Compensation Based on Wavelet Multiresolution Analysis

Dou, Zhenjia; Han, Qi; Niu, Xiamu; Peng, Xiang; Guo, Hong

doi:10.1109/lgrs.2016.2565685

Cited by 28 publications

(13 citation statements)

References 21 publications

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“…The issue of minimizing interference for traditional aeromagnetic surveys has been addressed thoroughly by developing compensation strategies both in hardware and in software [115][116][117][118][119]. A calibration flight is required to establish the relationship between aircraft maneuver and the corresponding changes of magnetic field base on the T-L model [120].…”

Section: Suppression Of Uav Magnetic Interferencementioning

confidence: 99%

Unmanned Aerial Vehicles for Magnetic Surveys: A Review on Platform Selection and Interference Suppression

Zheng

Xing

et al. 2021

Drones

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In the past two decades, unmanned aerial vehicles (UAVs) have been used in many scientific research fields for various applications. In particular, the use of UAVs for magnetic surveys has become a hot spot and is expected to be actively applied in the future. A considerable amount of literature has been published on the use of UAVs for magnetic surveys, however, how to choose the platform and reduce the interference of UAV to the collected data have not been discussed systematically. There are two primary aims of this study: (1) To ascertain the basis of UAV platform selection and (2) to investigate the characteristics and suppression methods of UAV magnetic interference. Systematic reviews were performed to summarize the results of 70 academic studies (from 2005 to 2021) and outline the research tendencies for applying UAVs in magnetic surveys. This study found that multi-rotor UAVs have become the most widely used type of UAVs in recent years because of their advantages such as easiness to operate, low cost, and the ability of flying at a very low altitude, despite their late appearance. With the improvement of the payload capacity of UAVs, to use multiple magnetometers becomes popular since it can provide more abundant information. In addition, this study also found that the most commonly used method to reduce the effects of the UAV’s magnetic interference is to increase the distance between the sensors and the UAV, although this method will bring about other problems, e.g., the directional and positional errors of sensors caused by erratic movements, the increased risk of impact to the magnetometers. The pros and cons of different types of UAV, magnetic interference characteristics and suppression methods based on traditional aeromagnetic compensation and other methods are discussed in detail. This study contributes to the classification of current UAV applications as well as the data processing methods in magnetic surveys.

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Section: Suppression Of Uav Magnetic Interferencementioning

confidence: 99%

Unmanned Aerial Vehicles for Magnetic Surveys: A Review on Platform Selection and Interference Suppression

Zheng

Xing

et al. 2021

Drones

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“…For manned aircraft, the issue of minimizing interference on aeromagnetic data has been addressed thoroughly by developing compensation strategies both in software and in hardware (Hardwick ; Noriega , ; Dou et al . ,b). In both cases, compensation requires a calibration flight to establish the relationship between flight manoeuvres and the corresponding changes in the magnetic signal (Leliak ; Zhang, Guo and Qiao ; Jianjun, Chunsheng, and Hao ).…”

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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“…To yield a more accurate set of coefficients, researchers have made many efforts toward improving the model [9,10], optimizing the solving method [11,12,13,14,15,16], and correcting the sensor errors [17]. Theoretically, with the assumption that the ambient magnetic field is uniform [7], the coefficients of the T–L model are directly linked to the aircraft itself because they are due to its properties, such as the materials and the electrical systems.…”

Section: Introductionmentioning

confidence: 99%

An Aeromagnetic Compensation Method Based on a Multimodel for Mitigating Multicollinearity

Zhao

Han

Peng

et al. 2019

Sensors

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Aeromagnetic surveys play an important role in geophysical exploration and many other fields. In many applications, magnetometers are installed aboard an aircraft to survey large areas. Due to its composition, an aircraft has its own magnetic field, which degrades the reliability of the measurements, and thus a technique (named aeromagnetic compensation) that reduces the magnetic interference field effect is required. Commonly, based on the Tolles–Lawson model, this issue is solved as a linear regression problem. However, multicollinearity, which refers to the case when more than two model variables are highly linearly related, creates accuracy problems when estimating the model coefficients. The analysis in this study indicates that the variables that cause multicollinearity are related to the flight heading. To take this point into account, a multimodel compensation method is proposed. By selecting the variables that contribute less to the multicollinearity, different sub-models are built to describe the magnetic interference of the aircraft when flying in different orientations. This method restricts the impact of multicollinearity and improves the reliability of the measurements. Compared with the existing methods, the proposed method reduces the interference field more effectively, which is verified by a set of airborne tests.

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An Adaptive Filter for Aeromagnetic Compensation Based on Wavelet Multiresolution Analysis

Cited by 28 publications

References 21 publications

Unmanned Aerial Vehicles for Magnetic Surveys: A Review on Platform Selection and Interference Suppression

Unmanned Aerial Vehicles for Magnetic Surveys: A Review on Platform Selection and Interference Suppression

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

An Aeromagnetic Compensation Method Based on a Multimodel for Mitigating Multicollinearity

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