Loading…

Characterization of Accelerometers Using Nonlinear Kalman Filters and Position Feedback

In this paper, we describe a method to test and characterize accelerometers using an accurate position sensor and nonlinear Kalman filters. The method is designed to estimate parameters in nonlinear accelerometers and could be a simpler alternative to methods using centrifuges or vibrational testing...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on instrumentation and measurement 2007-12, Vol.56 (6), p.2698-2704
Main Authors:	Stakkeland, M., Prytz, G., Booij, W.E., Pedersen, S.T.
Format:	Article
Language:	English
Subjects:	Acceleration Acceleration measurement Accelerometers Computer simulation Feedback Filters Gravity inertial navigation Instrumentation Kalman filtering Kalman filters Micromechanical devices Monte Carlo methods nonlinear estimation nonlinear filters Nonlinearity Parameter estimation Position measurement Sensor phenomena and characterization Testing Tracking Vibrations
Citations:	Items that this one cites Items that cite this one
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

cited_by	cdi_FETCH-LOGICAL-c320t-cb61b224a5020c0175247a4ff8e36d0d8c1b13455f83584278d24af6b6c26f183
cites	cdi_FETCH-LOGICAL-c320t-cb61b224a5020c0175247a4ff8e36d0d8c1b13455f83584278d24af6b6c26f183
container_end_page	2704
container_issue	6
container_start_page	2698
container_title	IEEE transactions on instrumentation and measurement
container_volume	56
creator	Stakkeland, M. Prytz, G. Booij, W.E. Pedersen, S.T.
description	In this paper, we describe a method to test and characterize accelerometers using an accurate position sensor and nonlinear Kalman filters. The method is designed to estimate parameters in nonlinear accelerometers and could be a simpler alternative to methods using centrifuges or vibrational testing. The method makes it possible to do real-time parameter estimation. In addition, the method can be integrated into an inertial tracking or navigation system with sufficiently accurate position measurements. The estimation filters have been implemented and successfully tested using Monte Carlo simulations. An experimental setup has been built, and its functionality has been verified.
doi_str_mv	10.1109/TIM.2007.908145
format	article
fullrecord	<record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1109_TIM_2007_908145</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4389144</ieee_id><sourcerecordid>2331912151</sourcerecordid><originalsourceid>FETCH-LOGICAL-c320t-cb61b224a5020c0175247a4ff8e36d0d8c1b13455f83584278d24af6b6c26f183</originalsourceid><addsrcrecordid>eNpdkDtPwzAURi0EEqUwM7BELExp_bYzVhWFivIYWjFajuOASxIXOx3g1-O2iIHpSvee7-rTAeASwRFCsBgv548jDKEYFVAiyo7AADEm8oJzfAwGECKZF5TxU3AW4xomkFMxAK_Tdx206W1w37p3vst8nU2MsY0NvrVpH7NVdN1b9uS7xnVWh-xBN63usplr9mfdVdmLj26fnllbldp8nIOTWjfRXvzOIVjNbpfT-3zxfDefTha5IRj2uSk5KjGmmkEMDUSCYSo0rWtpCa9gJQ0qEaGM1ZIwSbGQVYJrXnKDeY0kGYKbw99N8J9bG3vVupjaN7qzfhuVFAySIilJ5PU_cu23oUvllORESF5QlKDxATLBxxhsrTbBtTp8KQTVTrNKmtVOszpoTomrQ8JZa_9oSmSBKCU_hlZ32Q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>863786941</pqid></control><display><type>article</type><title>Characterization of Accelerometers Using Nonlinear Kalman Filters and Position Feedback</title><source>IEEE Xplore (Online service)</source><creator>Stakkeland, M. ; Prytz, G. ; Booij, W.E. ; Pedersen, S.T.</creator><creatorcontrib>Stakkeland, M. ; Prytz, G. ; Booij, W.E. ; Pedersen, S.T.</creatorcontrib><description>In this paper, we describe a method to test and characterize accelerometers using an accurate position sensor and nonlinear Kalman filters. The method is designed to estimate parameters in nonlinear accelerometers and could be a simpler alternative to methods using centrifuges or vibrational testing. The method makes it possible to do real-time parameter estimation. In addition, the method can be integrated into an inertial tracking or navigation system with sufficiently accurate position measurements. The estimation filters have been implemented and successfully tested using Monte Carlo simulations. An experimental setup has been built, and its functionality has been verified.</description><identifier>ISSN: 0018-9456</identifier><identifier>EISSN: 1557-9662</identifier><identifier>DOI: 10.1109/TIM.2007.908145</identifier><identifier>CODEN: IEIMAO</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Acceleration ; Acceleration measurement ; Accelerometers ; Computer simulation ; Feedback ; Filters ; Gravity ; inertial navigation ; Instrumentation ; Kalman filtering ; Kalman filters ; Micromechanical devices ; Monte Carlo methods ; nonlinear estimation ; nonlinear filters ; Nonlinearity ; Parameter estimation ; Position measurement ; Sensor phenomena and characterization ; Testing ; Tracking ; Vibrations</subject><ispartof>IEEE transactions on instrumentation and measurement, 2007-12, Vol.56 (6), p.2698-2704</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2007</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c320t-cb61b224a5020c0175247a4ff8e36d0d8c1b13455f83584278d24af6b6c26f183</citedby><cites>FETCH-LOGICAL-c320t-cb61b224a5020c0175247a4ff8e36d0d8c1b13455f83584278d24af6b6c26f183</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4389144$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids></links><search><creatorcontrib>Stakkeland, M.</creatorcontrib><creatorcontrib>Prytz, G.</creatorcontrib><creatorcontrib>Booij, W.E.</creatorcontrib><creatorcontrib>Pedersen, S.T.</creatorcontrib><title>Characterization of Accelerometers Using Nonlinear Kalman Filters and Position Feedback</title><title>IEEE transactions on instrumentation and measurement</title><addtitle>TIM</addtitle><description>In this paper, we describe a method to test and characterize accelerometers using an accurate position sensor and nonlinear Kalman filters. The method is designed to estimate parameters in nonlinear accelerometers and could be a simpler alternative to methods using centrifuges or vibrational testing. The method makes it possible to do real-time parameter estimation. In addition, the method can be integrated into an inertial tracking or navigation system with sufficiently accurate position measurements. The estimation filters have been implemented and successfully tested using Monte Carlo simulations. An experimental setup has been built, and its functionality has been verified.</description><subject>Acceleration</subject><subject>Acceleration measurement</subject><subject>Accelerometers</subject><subject>Computer simulation</subject><subject>Feedback</subject><subject>Filters</subject><subject>Gravity</subject><subject>inertial navigation</subject><subject>Instrumentation</subject><subject>Kalman filtering</subject><subject>Kalman filters</subject><subject>Micromechanical devices</subject><subject>Monte Carlo methods</subject><subject>nonlinear estimation</subject><subject>nonlinear filters</subject><subject>Nonlinearity</subject><subject>Parameter estimation</subject><subject>Position measurement</subject><subject>Sensor phenomena and characterization</subject><subject>Testing</subject><subject>Tracking</subject><subject>Vibrations</subject><issn>0018-9456</issn><issn>1557-9662</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNpdkDtPwzAURi0EEqUwM7BELExp_bYzVhWFivIYWjFajuOASxIXOx3g1-O2iIHpSvee7-rTAeASwRFCsBgv548jDKEYFVAiyo7AADEm8oJzfAwGECKZF5TxU3AW4xomkFMxAK_Tdx206W1w37p3vst8nU2MsY0NvrVpH7NVdN1b9uS7xnVWh-xBN63usplr9mfdVdmLj26fnllbldp8nIOTWjfRXvzOIVjNbpfT-3zxfDefTha5IRj2uSk5KjGmmkEMDUSCYSo0rWtpCa9gJQ0qEaGM1ZIwSbGQVYJrXnKDeY0kGYKbw99N8J9bG3vVupjaN7qzfhuVFAySIilJ5PU_cu23oUvllORESF5QlKDxATLBxxhsrTbBtTp8KQTVTrNKmtVOszpoTomrQ8JZa_9oSmSBKCU_hlZ32Q</recordid><startdate>20071201</startdate><enddate>20071201</enddate><creator>Stakkeland, M.</creator><creator>Prytz, G.</creator><creator>Booij, W.E.</creator><creator>Pedersen, S.T.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20071201</creationdate><title>Characterization of Accelerometers Using Nonlinear Kalman Filters and Position Feedback</title><author>Stakkeland, M. ; Prytz, G. ; Booij, W.E. ; Pedersen, S.T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c320t-cb61b224a5020c0175247a4ff8e36d0d8c1b13455f83584278d24af6b6c26f183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Acceleration</topic><topic>Acceleration measurement</topic><topic>Accelerometers</topic><topic>Computer simulation</topic><topic>Feedback</topic><topic>Filters</topic><topic>Gravity</topic><topic>inertial navigation</topic><topic>Instrumentation</topic><topic>Kalman filtering</topic><topic>Kalman filters</topic><topic>Micromechanical devices</topic><topic>Monte Carlo methods</topic><topic>nonlinear estimation</topic><topic>nonlinear filters</topic><topic>Nonlinearity</topic><topic>Parameter estimation</topic><topic>Position measurement</topic><topic>Sensor phenomena and characterization</topic><topic>Testing</topic><topic>Tracking</topic><topic>Vibrations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stakkeland, M.</creatorcontrib><creatorcontrib>Prytz, G.</creatorcontrib><creatorcontrib>Booij, W.E.</creatorcontrib><creatorcontrib>Pedersen, S.T.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Xplore</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on instrumentation and measurement</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stakkeland, M.</au><au>Prytz, G.</au><au>Booij, W.E.</au><au>Pedersen, S.T.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterization of Accelerometers Using Nonlinear Kalman Filters and Position Feedback</atitle><jtitle>IEEE transactions on instrumentation and measurement</jtitle><stitle>TIM</stitle><date>2007-12-01</date><risdate>2007</risdate><volume>56</volume><issue>6</issue><spage>2698</spage><epage>2704</epage><pages>2698-2704</pages><issn>0018-9456</issn><eissn>1557-9662</eissn><coden>IEIMAO</coden><abstract>In this paper, we describe a method to test and characterize accelerometers using an accurate position sensor and nonlinear Kalman filters. The method is designed to estimate parameters in nonlinear accelerometers and could be a simpler alternative to methods using centrifuges or vibrational testing. The method makes it possible to do real-time parameter estimation. In addition, the method can be integrated into an inertial tracking or navigation system with sufficiently accurate position measurements. The estimation filters have been implemented and successfully tested using Monte Carlo simulations. An experimental setup has been built, and its functionality has been verified.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TIM.2007.908145</doi><tpages>7</tpages></addata></record>
fulltext	fulltext
identifier	ISSN: 0018-9456
ispartof	IEEE transactions on instrumentation and measurement, 2007-12, Vol.56 (6), p.2698-2704
issn	0018-9456 1557-9662
language	eng
recordid	cdi_crossref_primary_10_1109_TIM_2007_908145
source	IEEE Xplore (Online service)
subjects	Acceleration Acceleration measurement Accelerometers Computer simulation Feedback Filters Gravity inertial navigation Instrumentation Kalman filtering Kalman filters Micromechanical devices Monte Carlo methods nonlinear estimation nonlinear filters Nonlinearity Parameter estimation Position measurement Sensor phenomena and characterization Testing Tracking Vibrations
title	Characterization of Accelerometers Using Nonlinear Kalman Filters and Position Feedback
url	http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T19%3A47%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Characterization%20of%20Accelerometers%20Using%20Nonlinear%20Kalman%20Filters%20and%20Position%20Feedback&rft.jtitle=IEEE%20transactions%20on%20instrumentation%20and%20measurement&rft.au=Stakkeland,%20M.&rft.date=2007-12-01&rft.volume=56&rft.issue=6&rft.spage=2698&rft.epage=2704&rft.pages=2698-2704&rft.issn=0018-9456&rft.eissn=1557-9662&rft.coden=IEIMAO&rft_id=info:doi/10.1109/TIM.2007.908145&rft_dat=%3Cproquest_cross%3E2331912151%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c320t-cb61b224a5020c0175247a4ff8e36d0d8c1b13455f83584278d24af6b6c26f183%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=863786941&rft_id=info:pmid/&rft_ieee_id=4389144&rfr_iscdi=true