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Fine-Grained Indoor Localization Using Single Access Point With Multiple Antennas
We propose a single access point-based fine-grained indoor localization system in multipath environments using 802.11ac Wi-Fi signals. The physical layer of 802.11ac supports orthogonal frequency-division multiplexing modulation (OFDM) scheme, more antennas, and multiuser multiple-input multiple-out...
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Published in: | IEEE sensors journal 2015-03, Vol.15 (3), p.1538-1544 |
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creator | Fuxi Wen Chen Liang |
description | We propose a single access point-based fine-grained indoor localization system in multipath environments using 802.11ac Wi-Fi signals. The physical layer of 802.11ac supports orthogonal frequency-division multiplexing modulation (OFDM) scheme, more antennas, and multiuser multiple-input multiple-output. Angle-of-arrival (AOA) of the paths can be obtained using the phase difference among all the antennas. Similarly, time of arrival (TOA) information is estimated from the phase difference among all the subcarriers of the OFDM signal. After obtaining the AOA and TOA information of the dominant paths, an auto paring approach is proposed to identify the line-of-sight (LOS) path. Mobile device can be localized using the estimated AOA and TOA information of the LOS path. Performance analysis of the proposed method is provided. Numerical simulations are carried out to evaluate the performance. Based on the simulation results, meter or submeter level accuracy is obtained for the proposed method. |
doi_str_mv | 10.1109/JSEN.2014.2364121 |
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The physical layer of 802.11ac supports orthogonal frequency-division multiplexing modulation (OFDM) scheme, more antennas, and multiuser multiple-input multiple-output. Angle-of-arrival (AOA) of the paths can be obtained using the phase difference among all the antennas. Similarly, time of arrival (TOA) information is estimated from the phase difference among all the subcarriers of the OFDM signal. After obtaining the AOA and TOA information of the dominant paths, an auto paring approach is proposed to identify the line-of-sight (LOS) path. Mobile device can be localized using the estimated AOA and TOA information of the LOS path. Performance analysis of the proposed method is provided. Numerical simulations are carried out to evaluate the performance. Based on the simulation results, meter or submeter level accuracy is obtained for the proposed method.</description><identifier>ISSN: 1530-437X</identifier><identifier>EISSN: 1558-1748</identifier><identifier>DOI: 10.1109/JSEN.2014.2364121</identifier><identifier>CODEN: ISJEAZ</identifier><language>eng</language><publisher>IEEE</publisher><subject>access point ; Accuracy ; angle of arrival ; Antennas ; Arrays ; channel frequency response ; Estimation ; fine-grained ; Indoor localization ; line-of-sight ; mobile device ; Mobile handsets ; multiple-input multiple-output ; OFDM ; orthogonal frequency-division multiplexing ; Signal to noise ratio ; time of arrival</subject><ispartof>IEEE sensors journal, 2015-03, Vol.15 (3), p.1538-1544</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c265t-829aaff384068f4a092f1b2f6d95d66ac54bcf3b2a99031ed78268402f2b40fc3</citedby><cites>FETCH-LOGICAL-c265t-829aaff384068f4a092f1b2f6d95d66ac54bcf3b2a99031ed78268402f2b40fc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6933884$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids></links><search><creatorcontrib>Fuxi Wen</creatorcontrib><creatorcontrib>Chen Liang</creatorcontrib><title>Fine-Grained Indoor Localization Using Single Access Point With Multiple Antennas</title><title>IEEE sensors journal</title><addtitle>JSEN</addtitle><description>We propose a single access point-based fine-grained indoor localization system in multipath environments using 802.11ac Wi-Fi signals. The physical layer of 802.11ac supports orthogonal frequency-division multiplexing modulation (OFDM) scheme, more antennas, and multiuser multiple-input multiple-output. Angle-of-arrival (AOA) of the paths can be obtained using the phase difference among all the antennas. Similarly, time of arrival (TOA) information is estimated from the phase difference among all the subcarriers of the OFDM signal. After obtaining the AOA and TOA information of the dominant paths, an auto paring approach is proposed to identify the line-of-sight (LOS) path. Mobile device can be localized using the estimated AOA and TOA information of the LOS path. Performance analysis of the proposed method is provided. Numerical simulations are carried out to evaluate the performance. Based on the simulation results, meter or submeter level accuracy is obtained for the proposed method.</description><subject>access point</subject><subject>Accuracy</subject><subject>angle of arrival</subject><subject>Antennas</subject><subject>Arrays</subject><subject>channel frequency response</subject><subject>Estimation</subject><subject>fine-grained</subject><subject>Indoor localization</subject><subject>line-of-sight</subject><subject>mobile device</subject><subject>Mobile handsets</subject><subject>multiple-input multiple-output</subject><subject>OFDM</subject><subject>orthogonal frequency-division multiplexing</subject><subject>Signal to noise ratio</subject><subject>time of arrival</subject><issn>1530-437X</issn><issn>1558-1748</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNo9kMtOwzAURC0EEqXwAYiNfyDB13Yce1lVfaHwUqlgFzmODUbBqeKwgK8nUSs2MyPdmbs4CF0DSQGIur3bLh5SSoCnlAkOFE7QBLJMJpBzeTpmRhLO8rdzdBHjJyGg8iyfoOelDzZZdXqwGm9C3bYdLlqjG_-re98GvIs-vOPtII3FM2NsjPip9aHHr77_wPffTe_34yn0NgQdL9GZ0020V0efot1y8TJfJ8XjajOfFYmhIusTSZXWzjHJiZCOa6Kog4o6UausFkKbjFfGsYpqpQgDW-eSiqFMHa04cYZNERz-mq6NsbOu3Hf-S3c_JZByZFKOTMqRSXlkMmxuDhtvrf3vC8WYlJz9AUTqXcM</recordid><startdate>201503</startdate><enddate>201503</enddate><creator>Fuxi Wen</creator><creator>Chen Liang</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>201503</creationdate><title>Fine-Grained Indoor Localization Using Single Access Point With Multiple Antennas</title><author>Fuxi Wen ; Chen Liang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c265t-829aaff384068f4a092f1b2f6d95d66ac54bcf3b2a99031ed78268402f2b40fc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>access point</topic><topic>Accuracy</topic><topic>angle of arrival</topic><topic>Antennas</topic><topic>Arrays</topic><topic>channel frequency response</topic><topic>Estimation</topic><topic>fine-grained</topic><topic>Indoor localization</topic><topic>line-of-sight</topic><topic>mobile device</topic><topic>Mobile handsets</topic><topic>multiple-input multiple-output</topic><topic>OFDM</topic><topic>orthogonal frequency-division multiplexing</topic><topic>Signal to noise ratio</topic><topic>time of arrival</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fuxi Wen</creatorcontrib><creatorcontrib>Chen Liang</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Xplore / Electronic Library Online (IEL)</collection><collection>CrossRef</collection><jtitle>IEEE sensors journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fuxi Wen</au><au>Chen Liang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fine-Grained Indoor Localization Using Single Access Point With Multiple Antennas</atitle><jtitle>IEEE sensors journal</jtitle><stitle>JSEN</stitle><date>2015-03</date><risdate>2015</risdate><volume>15</volume><issue>3</issue><spage>1538</spage><epage>1544</epage><pages>1538-1544</pages><issn>1530-437X</issn><eissn>1558-1748</eissn><coden>ISJEAZ</coden><abstract>We propose a single access point-based fine-grained indoor localization system in multipath environments using 802.11ac Wi-Fi signals. The physical layer of 802.11ac supports orthogonal frequency-division multiplexing modulation (OFDM) scheme, more antennas, and multiuser multiple-input multiple-output. Angle-of-arrival (AOA) of the paths can be obtained using the phase difference among all the antennas. Similarly, time of arrival (TOA) information is estimated from the phase difference among all the subcarriers of the OFDM signal. After obtaining the AOA and TOA information of the dominant paths, an auto paring approach is proposed to identify the line-of-sight (LOS) path. Mobile device can be localized using the estimated AOA and TOA information of the LOS path. Performance analysis of the proposed method is provided. Numerical simulations are carried out to evaluate the performance. Based on the simulation results, meter or submeter level accuracy is obtained for the proposed method.</abstract><pub>IEEE</pub><doi>10.1109/JSEN.2014.2364121</doi><tpages>7</tpages></addata></record> |
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subjects | access point Accuracy angle of arrival Antennas Arrays channel frequency response Estimation fine-grained Indoor localization line-of-sight mobile device Mobile handsets multiple-input multiple-output OFDM orthogonal frequency-division multiplexing Signal to noise ratio time of arrival |
title | Fine-Grained Indoor Localization Using Single Access Point With Multiple Antennas |
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