2017
DOI: 10.1109/jsen.2017.2781300
|View full text |Cite
|
Sign up to set email alerts
|

A fast linear algorithm for magnetic dipole localization using total magnetic field gradient

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
10
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
8

Relationship

2
6

Authors

Journals

citations
Cited by 39 publications
(10 citation statements)
references
References 29 publications
0
10
0
Order By: Relevance
“…To find the optimum parameters, we minimize the negative logarithmic likelihood function of training data as shown in (11), arg min (11) where…”
Section: Fuse Learning Methods 1) Svm Model For the Nlos And Los Cmentioning
confidence: 99%
“…To find the optimum parameters, we minimize the negative logarithmic likelihood function of training data as shown in (11), arg min (11) where…”
Section: Fuse Learning Methods 1) Svm Model For the Nlos And Los Cmentioning
confidence: 99%
“…When the target is far from the sensor, jB a j is much less than jB e j. When using the total field magnetometers to detect the target, we can obtain the scalar value of the measurement as [13,16]…”
Section: Minimum Entropy Feature Of Magnetic Anomalymentioning
confidence: 99%
“…Recently, researchers have proposed several methods of magnetic anomaly detection [10][11][12][13][14][15][16][17][18][19]. These methods can be divided into two categories.…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, the calculations of these methods are more complicated and requires more time than the gradient-based algorithms. Toward this end, Fan et al (2017) proposed a linear algorithm based on total magnetic field gradient, which can be used to locate the target in real time. Liu (2012) introduced a variety of structures of magnetic gradient tensor systems, and the planar cross-shaped structure is the most used one.…”
Section: Introductionmentioning
confidence: 99%
“…A triangle tensor system and a hexahedron tensor system were used for magnetic localization (Wiegert et al, 2008;Wiegert et al, 2002). Fan et al (2017) performed magnetic localization with multiple sensors on a straight line. Allen et al (2005) proposed a planar crossshaped tensor system with significantly reduced structural error.…”
Section: Introductionmentioning
confidence: 99%