Calibration of Strapdown Magnetometers in Magnetic Field Domain
By D. Gebre‐Egziabher, Gabriel Hugh Elkaim, J. David Powell, Bradford W. Parkinson. 2006
332 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Artificial Intelligence, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/a97e48046cecee38def6fb313d01ac6ca9a2b27c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Sebastian O. H. Madgwick
- Carlos Jorge Ferreira Silvestre
- Paulo Jorge Ramalho Oliveira
- José Fernandes Vasconcelos
- Bruno Cardeira
- C. C. Foster
- Ravi Vaidyanathan
- Gabriel Hugh Elkaim
In Artificial Intelligence
- Sebastian O. H. Madgwick
- Carlos Jorge Ferreira Silvestre
- Paulo Jorge Ramalho Oliveira
- José Fernandes Vasconcelos
- Bruno Cardeira
- C. C. Foster
- Ravi Vaidyanathan
- Gabriel Hugh Elkaim
In Statistical and Nonlinear Physics
Citations in the corpus
- An efficient orientation filter for inertial and inertial / magnetic sensor arrays (2010, background): “Sources of interference fixed in the sensor frame, termed hard iron biases, can be removed through calibration [42, 43, 44, 45].”
- Complete Triaxis Magnetometer Calibration in the Magnetic Domain (2010, background): “Consequently while rotating the sensor in space, the locus described by its readings should describe a sphere with a radius equal to the magnitude of the local Earth’s magnetic field [5].”
- Extension of a two-step calibration methodology to include nonorthogonal sensor axes (2008, methodology): “For a full treatment of the method, including simulated and experimental results, see [6], [3].”
- Geometric Approach to Strapdown Magnetometer Calibration in Sensor Frame (2011, methodology): “the hard iron and sensor biases are grouped together in [9].”
- Estimation of IMU and MARG orientation using a gradient descent algorithm (2011, background): “Sources of interference fixed in the sensor frame, termed hard iron biases, can be removed through calibration [32], [33], [34], [35].”