DocumentCode
2436055
Title
Bias estimation of magnetometer using genetic algorithm
Author
Kim, Eunghyun ; Bang, Hyo-choong
Author_Institution
Korea Aerosp. Res. Inst., Daejeon
fYear
2007
fDate
17-20 Oct. 2007
Firstpage
195
Lastpage
198
Abstract
A number of algorithms have been proposed for estimating the magnetometer bias without the spacecraft attitude knowledge. The simplest is the scalar checking which minimizes the differences in the squares of the magnitudes of the measured and modeled magnetic fields. This approach is that the cost function is presented as forth order equation with respect to the magnetometer bias and therefore is required to find global minimum. Magnetometer bias estimation using the genetic algorithm was proposed. New estimation method was the same structure like TWOSTEP. The genetic algorithm provides the initial estimate to find the final solution. The proposed bias estimation using genetic algorithm was compared with other optimization algorithm like the gradient method and TWOSTEP.
Keywords
estimation theory; genetic algorithms; magnetometers; space vehicles; bias estimation; cost function; forth order equation; genetic algorithm; magnetometer; scalar checking; spacecraft; Coordinate measuring machines; Cost function; Equations; Gaussian noise; Genetic algorithms; Magnetic field measurement; Magnetometers; Noise measurement; Space vehicles; Time measurement; Bias; Estimation; Genetic Algorithm; Magnetometer;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Systems, 2007. ICCAS '07. International Conference on
Conference_Location
Seoul
Print_ISBN
978-89-950038-6-2
Electronic_ISBN
978-89-950038-6-2
Type
conf
DOI
10.1109/ICCAS.2007.4406907
Filename
4406907
Link To Document