Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:IEEE sensors journal 2015-03, Vol.15 (3), p.1538-1544
Main Authors: Fuxi Wen, Chen Liang
Format: Article
Language:English
Subjects:
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-c265t-829aaff384068f4a092f1b2f6d95d66ac54bcf3b2a99031ed78268402f2b40fc3
cites cdi_FETCH-LOGICAL-c265t-829aaff384068f4a092f1b2f6d95d66ac54bcf3b2a99031ed78268402f2b40fc3
container_end_page 1544
container_issue 3
container_start_page 1538
container_title IEEE sensors journal
container_volume 15
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
format article
fullrecord <record><control><sourceid>crossref_ieee_</sourceid><recordid>TN_cdi_crossref_primary_10_1109_JSEN_2014_2364121</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6933884</ieee_id><sourcerecordid>10_1109_JSEN_2014_2364121</sourcerecordid><originalsourceid>FETCH-LOGICAL-c265t-829aaff384068f4a092f1b2f6d95d66ac54bcf3b2a99031ed78268402f2b40fc3</originalsourceid><addsrcrecordid>eNo9kMtOwzAURC0EEqXwAYiNfyDB13Yce1lVfaHwUqlgFzmODUbBqeKwgK8nUSs2MyPdmbs4CF0DSQGIur3bLh5SSoCnlAkOFE7QBLJMJpBzeTpmRhLO8rdzdBHjJyGg8iyfoOelDzZZdXqwGm9C3bYdLlqjG_-re98GvIs-vOPtII3FM2NsjPip9aHHr77_wPffTe_34yn0NgQdL9GZ0020V0efot1y8TJfJ8XjajOfFYmhIusTSZXWzjHJiZCOa6Kog4o6UausFkKbjFfGsYpqpQgDW-eSiqFMHa04cYZNERz-mq6NsbOu3Hf-S3c_JZByZFKOTMqRSXlkMmxuDhtvrf3vC8WYlJz9AUTqXcM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Fine-Grained Indoor Localization Using Single Access Point With Multiple Antennas</title><source>IEEE Electronic Library (IEL) Journals</source><creator>Fuxi Wen ; Chen Liang</creator><creatorcontrib>Fuxi Wen ; Chen Liang</creatorcontrib><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><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>
fulltext fulltext
identifier ISSN: 1530-437X
ispartof IEEE sensors journal, 2015-03, Vol.15 (3), p.1538-1544
issn 1530-437X
1558-1748
language eng
recordid cdi_crossref_primary_10_1109_JSEN_2014_2364121
source IEEE Electronic Library (IEL) Journals
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T14%3A16%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Fine-Grained%20Indoor%20Localization%20Using%20Single%20Access%20Point%20With%20Multiple%20Antennas&rft.jtitle=IEEE%20sensors%20journal&rft.au=Fuxi%20Wen&rft.date=2015-03&rft.volume=15&rft.issue=3&rft.spage=1538&rft.epage=1544&rft.pages=1538-1544&rft.issn=1530-437X&rft.eissn=1558-1748&rft.coden=ISJEAZ&rft_id=info:doi/10.1109/JSEN.2014.2364121&rft_dat=%3Ccrossref_ieee_%3E10_1109_JSEN_2014_2364121%3C/crossref_ieee_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c265t-829aaff384068f4a092f1b2f6d95d66ac54bcf3b2a99031ed78268402f2b40fc3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6933884&rfr_iscdi=true