A new magnetic compass calibration algorithm using neural networks
Identifieur interne : 001A10 ( Istex/Curation ); précédent : 001A09; suivant : 001A11A new magnetic compass calibration algorithm using neural networks
Auteurs : Jau-Hsiung Wang [Canada] ; Yang Gao [Canada]Source :
- Measurement Science and Technology [ 0957-0233 ] ; 2006.
Abstract
The magnetic compass can provide heading direction by measuring the Earth's magnetic field. In practical applications, there usually exists an unwanted local magnetic field that will distort the magnetometer measurements; hence a calibration procedure is essential. Current calibration methods are limited by the inaccurate magnetometer error estimation when measurements are deteriorated by magnetic disturbances or large noises. This paper proposes a new compass calibration algorithm via modelling the nonlinear relationship between the compass heading and the true heading using neural networks. When an external heading reference is available, neural networks can be trained to properly model this nonlinear inputoutput pattern even in the presence of magnetic disturbances, and subsequently can be applied to convert the compass heading into the correct heading. The proposed algorithm does not require declination information and magnetometer biases and scale factor estimation. The simulation and field test results have verified the effectiveness and robustness of the proposed calibration method and have also shown that the calibration performance is proportional to the quality of the training data.
Url:
DOI: 10.1088/0957-0233/17/1/025
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: Pour aller vers cette notice dans l'étape Curation :001A10
Links to Exploration step
ISTEX:7405EB515A8022FDD157DAA04A653C6B1DBB4CFFLe document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">A new magnetic compass calibration algorithm using neural networks</title>
<author><name sortKey="Wang, Jau Hsiung" sort="Wang, Jau Hsiung" uniqKey="Wang J" first="Jau-Hsiung" last="Wang">Jau-Hsiung Wang</name>
<affiliation wicri:level="1"><mods:affiliation>Department of Geomatics Engineering, The University of Calgary, Calgary, Alberta T2N 1N4, Canada</mods:affiliation>
<country xml:lang="fr">Canada</country>
<wicri:regionArea>Department of Geomatics Engineering, The University of Calgary, Calgary, Alberta T2N 1N4</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Gao, Yang" sort="Gao, Yang" uniqKey="Gao Y" first="Yang" last="Gao">Yang Gao</name>
<affiliation wicri:level="1"><mods:affiliation>Department of Geomatics Engineering, The University of Calgary, Calgary, Alberta T2N 1N4, Canada</mods:affiliation>
<country xml:lang="fr">Canada</country>
<wicri:regionArea>Department of Geomatics Engineering, The University of Calgary, Calgary, Alberta T2N 1N4</wicri:regionArea>
</affiliation>
<affiliation wicri:level="1"><mods:affiliation>E-mail: gao@geomatics.ucalgary.ca</mods:affiliation>
<country wicri:rule="url">Canada</country>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:7405EB515A8022FDD157DAA04A653C6B1DBB4CFF</idno>
<date when="2006" year="2006">2006</date>
<idno type="doi">10.1088/0957-0233/17/1/025</idno>
<idno type="url">https://api-v5.istex.fr/document/7405EB515A8022FDD157DAA04A653C6B1DBB4CFF/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">001A10</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">001A10</idno>
<idno type="wicri:Area/Istex/Curation">001A10</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">A new magnetic compass calibration algorithm using neural networks</title>
<author><name sortKey="Wang, Jau Hsiung" sort="Wang, Jau Hsiung" uniqKey="Wang J" first="Jau-Hsiung" last="Wang">Jau-Hsiung Wang</name>
<affiliation wicri:level="1"><mods:affiliation>Department of Geomatics Engineering, The University of Calgary, Calgary, Alberta T2N 1N4, Canada</mods:affiliation>
<country xml:lang="fr">Canada</country>
<wicri:regionArea>Department of Geomatics Engineering, The University of Calgary, Calgary, Alberta T2N 1N4</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Gao, Yang" sort="Gao, Yang" uniqKey="Gao Y" first="Yang" last="Gao">Yang Gao</name>
<affiliation wicri:level="1"><mods:affiliation>Department of Geomatics Engineering, The University of Calgary, Calgary, Alberta T2N 1N4, Canada</mods:affiliation>
<country xml:lang="fr">Canada</country>
<wicri:regionArea>Department of Geomatics Engineering, The University of Calgary, Calgary, Alberta T2N 1N4</wicri:regionArea>
</affiliation>
<affiliation wicri:level="1"><mods:affiliation>E-mail: gao@geomatics.ucalgary.ca</mods:affiliation>
<country wicri:rule="url">Canada</country>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="j">Measurement Science and Technology</title>
<title level="j" type="abbrev">Meas. Sci. Technol.</title>
<idno type="ISSN">0957-0233</idno>
<idno type="eISSN">1361-6501</idno>
<imprint><publisher>Institute of Physics Publishing</publisher>
<date type="published" when="2006">2006</date>
<biblScope unit="volume">17</biblScope>
<biblScope unit="issue">1</biblScope>
<biblScope unit="page" from="153">153</biblScope>
<biblScope unit="page" to="160">160</biblScope>
<biblScope unit="production">Printed in the UK</biblScope>
</imprint>
<idno type="ISSN">0957-0233</idno>
</series>
<idno type="istex">7405EB515A8022FDD157DAA04A653C6B1DBB4CFF</idno>
<idno type="DOI">10.1088/0957-0233/17/1/025</idno>
<idno type="PII">S0957-0233(06)04838-7</idno>
<idno type="articleID">204838</idno>
<idno type="articleNumber">025</idno>
</biblStruct>
</sourceDesc>
<seriesStmt><idno type="ISSN">0957-0233</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass></textClass>
<langUsage><language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front><div type="abstract">The magnetic compass can provide heading direction by measuring the Earth's magnetic field. In practical applications, there usually exists an unwanted local magnetic field that will distort the magnetometer measurements; hence a calibration procedure is essential. Current calibration methods are limited by the inaccurate magnetometer error estimation when measurements are deteriorated by magnetic disturbances or large noises. This paper proposes a new compass calibration algorithm via modelling the nonlinear relationship between the compass heading and the true heading using neural networks. When an external heading reference is available, neural networks can be trained to properly model this nonlinear inputoutput pattern even in the presence of magnetic disturbances, and subsequently can be applied to convert the compass heading into the correct heading. The proposed algorithm does not require declination information and magnetometer biases and scale factor estimation. The simulation and field test results have verified the effectiveness and robustness of the proposed calibration method and have also shown that the calibration performance is proportional to the quality of the training data.</div>
</front>
</TEI>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Canada/explor/ParkinsonCanadaV1/Data/Istex/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001A10 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Curation/biblio.hfd -nk 001A10 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Canada |area= ParkinsonCanadaV1 |flux= Istex |étape= Curation |type= RBID |clé= ISTEX:7405EB515A8022FDD157DAA04A653C6B1DBB4CFF |texte= A new magnetic compass calibration algorithm using neural networks }}
This area was generated with Dilib version V0.6.29. |