Loading…
An RF-Based Positioning Method for Tracing a Cluster of Moving Scatterers in Non-Stationary Indoor Environments
This letter presents a novel iterative positioning method for tracing the body segments of a person moving indoors using radio-frequency (RF) signals. The indoor space is equipped with a multiple-input multiple-output (MIMO) communication system. The person is modelled by a cluster of moving point s...
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Online Access: | Request full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | |
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | Hicheri, Rym Pätzold, Matthias Uwe |
description | This letter presents a novel iterative positioning method for tracing the body segments of a person moving indoors using radio-frequency (RF) signals. The indoor space is equipped with a multiple-input multiple-output (MIMO) communication system. The person is modelled by a cluster of moving point scatterers, playing the role of moving body segments. The proposed technique estimates the time-variant (TV) positions of the moving scatterers by fitting the TV channel transfer function (TVCTF) of the channel model as close as possible to the TVCTF of the measured channels. Numerical results are presented to demonstrate the accuracy of this method. |
format | article |
fullrecord | <record><control><sourceid>cristin_3HK</sourceid><recordid>TN_cdi_cristin_nora_11250_3074349</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>11250_3074349</sourcerecordid><originalsourceid>FETCH-cristin_nora_11250_30743493</originalsourceid><addsrcrecordid>eNqNjM0KglAQhV3UQqp3mB7ggn9ZLUuUWhSR7mXQa12wGZh7E3r7FHqANufAx3fOzPPDXRqpMVLf4wPBvVBHtLqFG1vjDJOhB1y0e3ILHQtUgs2EELL-bZ0W4A4uPEysbNCNRIsFQ3BlUqXD6QPlA2dqedznNBhhemlydunNO-ytXv164a2LvMpOqhFjnaGaWLAOw2gT1HGwTeJkH__jfAGr8UNs</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>An RF-Based Positioning Method for Tracing a Cluster of Moving Scatterers in Non-Stationary Indoor Environments</title><source>NORA - Norwegian Open Research Archives</source><creator>Hicheri, Rym ; Pätzold, Matthias Uwe</creator><creatorcontrib>Hicheri, Rym ; Pätzold, Matthias Uwe</creatorcontrib><description>This letter presents a novel iterative positioning method for tracing the body segments of a person moving indoors using radio-frequency (RF) signals. The indoor space is equipped with a multiple-input multiple-output (MIMO) communication system. The person is modelled by a cluster of moving point scatterers, playing the role of moving body segments. The proposed technique estimates the time-variant (TV) positions of the moving scatterers by fitting the TV channel transfer function (TVCTF) of the channel model as close as possible to the TVCTF of the measured channels. Numerical results are presented to demonstrate the accuracy of this method.</description><identifier>ISSN: 1862-1866</identifier><language>eng</language><publisher>IEEE</publisher><creationdate>2021</creationdate><rights>info:eu-repo/semantics/openAccess</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,780,885,26567</link.rule.ids><linktorsrc>$$Uhttp://hdl.handle.net/11250/3074349$$EView_record_in_NORA$$FView_record_in_$$GNORA$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Hicheri, Rym</creatorcontrib><creatorcontrib>Pätzold, Matthias Uwe</creatorcontrib><title>An RF-Based Positioning Method for Tracing a Cluster of Moving Scatterers in Non-Stationary Indoor Environments</title><description>This letter presents a novel iterative positioning method for tracing the body segments of a person moving indoors using radio-frequency (RF) signals. The indoor space is equipped with a multiple-input multiple-output (MIMO) communication system. The person is modelled by a cluster of moving point scatterers, playing the role of moving body segments. The proposed technique estimates the time-variant (TV) positions of the moving scatterers by fitting the TV channel transfer function (TVCTF) of the channel model as close as possible to the TVCTF of the measured channels. Numerical results are presented to demonstrate the accuracy of this method.</description><issn>1862-1866</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>3HK</sourceid><recordid>eNqNjM0KglAQhV3UQqp3mB7ggn9ZLUuUWhSR7mXQa12wGZh7E3r7FHqANufAx3fOzPPDXRqpMVLf4wPBvVBHtLqFG1vjDJOhB1y0e3ILHQtUgs2EELL-bZ0W4A4uPEysbNCNRIsFQ3BlUqXD6QPlA2dqedznNBhhemlydunNO-ytXv164a2LvMpOqhFjnaGaWLAOw2gT1HGwTeJkH__jfAGr8UNs</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Hicheri, Rym</creator><creator>Pätzold, Matthias Uwe</creator><general>IEEE</general><scope>3HK</scope></search><sort><creationdate>2021</creationdate><title>An RF-Based Positioning Method for Tracing a Cluster of Moving Scatterers in Non-Stationary Indoor Environments</title><author>Hicheri, Rym ; Pätzold, Matthias Uwe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-cristin_nora_11250_30743493</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Hicheri, Rym</creatorcontrib><creatorcontrib>Pätzold, Matthias Uwe</creatorcontrib><collection>NORA - Norwegian Open Research Archives</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hicheri, Rym</au><au>Pätzold, Matthias Uwe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An RF-Based Positioning Method for Tracing a Cluster of Moving Scatterers in Non-Stationary Indoor Environments</atitle><date>2021</date><risdate>2021</risdate><issn>1862-1866</issn><abstract>This letter presents a novel iterative positioning method for tracing the body segments of a person moving indoors using radio-frequency (RF) signals. The indoor space is equipped with a multiple-input multiple-output (MIMO) communication system. The person is modelled by a cluster of moving point scatterers, playing the role of moving body segments. The proposed technique estimates the time-variant (TV) positions of the moving scatterers by fitting the TV channel transfer function (TVCTF) of the channel model as close as possible to the TVCTF of the measured channels. Numerical results are presented to demonstrate the accuracy of this method.</abstract><pub>IEEE</pub><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1862-1866 |
ispartof | |
issn | 1862-1866 |
language | eng |
recordid | cdi_cristin_nora_11250_3074349 |
source | NORA - Norwegian Open Research Archives |
title | An RF-Based Positioning Method for Tracing a Cluster of Moving Scatterers in Non-Stationary Indoor Environments |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T11%3A02%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-cristin_3HK&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20RF-Based%20Positioning%20Method%20for%20Tracing%20a%20Cluster%20of%20Moving%20Scatterers%20in%20Non-Stationary%20Indoor%20Environments&rft.au=Hicheri,%20Rym&rft.date=2021&rft.issn=1862-1866&rft_id=info:doi/&rft_dat=%3Ccristin_3HK%3E11250_3074349%3C/cristin_3HK%3E%3Cgrp_id%3Ecdi_FETCH-cristin_nora_11250_30743493%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |