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 :
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