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A Closed-Form Analytical Estimation of Vertical Displacement Error in Pedestrian Navigation
We present an analytical expression for estimating the position error in the vertical direction in pedestrian navigation using an Inertial Measurement Unit (IMU) aided by an altimeter. The analytical expression is found to be directly proportional to the altimeter resolution, the square root of the...
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creator | Jao, Chi-Shih Wang, Yusheng Askari, Sina Shkel, Andrei M. |
description | We present an analytical expression for estimating the position error in the vertical direction in pedestrian navigation using an Inertial Measurement Unit (IMU) aided by an altimeter. The analytical expression is found to be directly proportional to the altimeter resolution, the square root of the altimeter sampling rate, IMU Velocity Random Walk (VRW), and a ratio of time intervals in the stance phase and the swing phase during the gait cycle, and inversely proportional to the square root of IMU sampling rate. The analytical analysis was verified by numerical simulations and supported by experimental results. The numerical simulation of the ZUPT-augmented navigation aided by an altimeter was conducted based on a mathematically simulated foot motion trajectory. Experiments were implemented on a foot-mounted platform containing IMUs and altimeters. The results from both simulations and experiments matched our analytical prediction, with an error less than 20%. |
doi_str_mv | 10.1109/PLANS46316.2020.9109913 |
format | conference_proceeding |
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The analytical expression is found to be directly proportional to the altimeter resolution, the square root of the altimeter sampling rate, IMU Velocity Random Walk (VRW), and a ratio of time intervals in the stance phase and the swing phase during the gait cycle, and inversely proportional to the square root of IMU sampling rate. The analytical analysis was verified by numerical simulations and supported by experimental results. The numerical simulation of the ZUPT-augmented navigation aided by an altimeter was conducted based on a mathematically simulated foot motion trajectory. Experiments were implemented on a foot-mounted platform containing IMUs and altimeters. The results from both simulations and experiments matched our analytical prediction, with an error less than 20%.</description><identifier>EISSN: 2153-3598</identifier><identifier>EISBN: 1728102448</identifier><identifier>EISBN: 9781728102443</identifier><identifier>DOI: 10.1109/PLANS46316.2020.9109913</identifier><language>eng</language><publisher>IEEE</publisher><subject>Altimeter ; Displacement measurement ; Estimation ; Inertial Navigation Systems ; Measurement units ; Navigation ; Pedestrian Navigation ; Position measurement ; Predictive models ; Sensor Fusion ; Uncertainty</subject><ispartof>2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), 2020, p.793-797</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9109913$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,23911,23912,25121,27906,54536,54913</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9109913$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Jao, Chi-Shih</creatorcontrib><creatorcontrib>Wang, Yusheng</creatorcontrib><creatorcontrib>Askari, Sina</creatorcontrib><creatorcontrib>Shkel, Andrei M.</creatorcontrib><title>A Closed-Form Analytical Estimation of Vertical Displacement Error in Pedestrian Navigation</title><title>2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)</title><addtitle>PLANS</addtitle><description>We present an analytical expression for estimating the position error in the vertical direction in pedestrian navigation using an Inertial Measurement Unit (IMU) aided by an altimeter. The analytical expression is found to be directly proportional to the altimeter resolution, the square root of the altimeter sampling rate, IMU Velocity Random Walk (VRW), and a ratio of time intervals in the stance phase and the swing phase during the gait cycle, and inversely proportional to the square root of IMU sampling rate. The analytical analysis was verified by numerical simulations and supported by experimental results. The numerical simulation of the ZUPT-augmented navigation aided by an altimeter was conducted based on a mathematically simulated foot motion trajectory. Experiments were implemented on a foot-mounted platform containing IMUs and altimeters. The results from both simulations and experiments matched our analytical prediction, with an error less than 20%.</description><subject>Altimeter</subject><subject>Displacement measurement</subject><subject>Estimation</subject><subject>Inertial Navigation Systems</subject><subject>Measurement units</subject><subject>Navigation</subject><subject>Pedestrian Navigation</subject><subject>Position measurement</subject><subject>Predictive models</subject><subject>Sensor Fusion</subject><subject>Uncertainty</subject><issn>2153-3598</issn><isbn>1728102448</isbn><isbn>9781728102443</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2020</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotUM1KxDAYjILguu4TeDAv0JrvS5omx1K7KpR1wZ-LhyXbJhLpz5IUYd_e4u5cBgZmmBlC7oGlAEw_bOti8yYkB5kiQ5bqWdTAL8gN5KiAoRDqkiwQMp7wTKtrsorxh83IhOI5W5CvgpbdGG2brMfQ02Iw3XHyjeloFSffm8mPAx0d_bThJD_6eOhMY3s7TLQKYQzUD3RrWxun4M1AN-bXf__7bsmVM120qzMvyce6ei-fk_r16aUs6sQj41Oi9UxcKweMSwTVti2gkJKBNY7Ns6TLM7S4bzg4gdhKmPewhmd7hQIcX5K7U6631u4OYa4djrvzF_wPUBhS1A</recordid><startdate>202004</startdate><enddate>202004</enddate><creator>Jao, Chi-Shih</creator><creator>Wang, Yusheng</creator><creator>Askari, Sina</creator><creator>Shkel, Andrei M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>202004</creationdate><title>A Closed-Form Analytical Estimation of Vertical Displacement Error in Pedestrian Navigation</title><author>Jao, Chi-Shih ; Wang, Yusheng ; Askari, Sina ; Shkel, Andrei M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i203t-99203398f1036218ddd1246601eaf00206f752e2bc31f422d611530c35b8241f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Altimeter</topic><topic>Displacement measurement</topic><topic>Estimation</topic><topic>Inertial Navigation Systems</topic><topic>Measurement units</topic><topic>Navigation</topic><topic>Pedestrian Navigation</topic><topic>Position measurement</topic><topic>Predictive models</topic><topic>Sensor Fusion</topic><topic>Uncertainty</topic><toplevel>online_resources</toplevel><creatorcontrib>Jao, Chi-Shih</creatorcontrib><creatorcontrib>Wang, Yusheng</creatorcontrib><creatorcontrib>Askari, Sina</creatorcontrib><creatorcontrib>Shkel, Andrei M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jao, Chi-Shih</au><au>Wang, Yusheng</au><au>Askari, Sina</au><au>Shkel, Andrei M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Closed-Form Analytical Estimation of Vertical Displacement Error in Pedestrian Navigation</atitle><btitle>2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)</btitle><stitle>PLANS</stitle><date>2020-04</date><risdate>2020</risdate><spage>793</spage><epage>797</epage><pages>793-797</pages><eissn>2153-3598</eissn><eisbn>1728102448</eisbn><eisbn>9781728102443</eisbn><abstract>We present an analytical expression for estimating the position error in the vertical direction in pedestrian navigation using an Inertial Measurement Unit (IMU) aided by an altimeter. The analytical expression is found to be directly proportional to the altimeter resolution, the square root of the altimeter sampling rate, IMU Velocity Random Walk (VRW), and a ratio of time intervals in the stance phase and the swing phase during the gait cycle, and inversely proportional to the square root of IMU sampling rate. The analytical analysis was verified by numerical simulations and supported by experimental results. The numerical simulation of the ZUPT-augmented navigation aided by an altimeter was conducted based on a mathematically simulated foot motion trajectory. Experiments were implemented on a foot-mounted platform containing IMUs and altimeters. The results from both simulations and experiments matched our analytical prediction, with an error less than 20%.</abstract><pub>IEEE</pub><doi>10.1109/PLANS46316.2020.9109913</doi><tpages>5</tpages></addata></record> |
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source | IEEE Xplore All Conference Series |
subjects | Altimeter Displacement measurement Estimation Inertial Navigation Systems Measurement units Navigation Pedestrian Navigation Position measurement Predictive models Sensor Fusion Uncertainty |
title | A Closed-Form Analytical Estimation of Vertical Displacement Error in Pedestrian Navigation |
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