Similarity Analysis-Based Indoor Localization Algorithm With Backscatter Information of Passive UHF RFID Tags
Passive radio frequency identification (RFID) is a low cost and low complexity localization technology. With introduction of reference tags, RFID technology can provide on-line reference information for pattern matching localization algorithms. One of the most popular algorithms is k -nearest neighb...
        Saved in:
      
    
          | Published in | IEEE sensors journal Vol. 17; no. 1; pp. 185 - 193 | 
|---|---|
| Main Authors | , , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        New York
          IEEE
    
        01.01.2017
     The Institute of Electrical and Electronics Engineers, Inc. (IEEE)  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 1530-437X 1558-1748  | 
| DOI | 10.1109/JSEN.2016.2624314 | 
Cover
| Abstract | Passive radio frequency identification (RFID) is a low cost and low complexity localization technology. With introduction of reference tags, RFID technology can provide on-line reference information for pattern matching localization algorithms. One of the most popular algorithms is k -nearest neighbor algorithm. While how to decide the K value in estimation is still a problem. In addition, traditional received signal strength indicator (RSSI)-based algorithms suffer from multipath effects, it is difficult to further improve the localization accuracy. In this paper, we analyze the similarity of backscatter signals and present a novel range based indoor localization method, SAIL. According to the propagation distances of signals, reference tags that have similar distances to a reader antenna can be considered as a group. Inspired by the idea of grouping, clustering algorithm is utilized to get candidate tags for ranging. This method does not need to fix the number of reference tags in estimation. Besides RSSI, the RFID reader can also extract phase of signals coming from backscattered signals of responding tags. This guides us to combine RSSI and phase in similarity measure for clustering. In the simulation and experimental tests, SAIL is superior to other RFID schemes considering cost, location estimation error, and flexibility. | 
    
|---|---|
| AbstractList | Passive radio frequency identification (RFID) is a low cost and low complexity localization technology. With introduction of reference tags, RFID technology can provide on-line reference information for pattern matching localization algorithms. One of the most popular algorithms is k -nearest neighbor algorithm. While how to decide the K value in estimation is still a problem. In addition, traditional received signal strength indicator (RSSI)-based algorithms suffer from multipath effects, it is difficult to further improve the localization accuracy. In this paper, we analyze the similarity of backscatter signals and present a novel range based indoor localization method, SAIL. According to the propagation distances of signals, reference tags that have similar distances to a reader antenna can be considered as a group. Inspired by the idea of grouping, clustering algorithm is utilized to get candidate tags for ranging. This method does not need to fix the number of reference tags in estimation. Besides RSSI, the RFID reader can also extract phase of signals coming from backscattered signals of responding tags. This guides us to combine RSSI and phase in similarity measure for clustering. In the simulation and experimental tests, SAIL is superior to other RFID schemes considering cost, location estimation error, and flexibility. Passive radio frequency identification (RFID) is a low cost and low complexity localization technology. With introduction of reference tags, RFID technology can provide on-line reference information for pattern matching localization algorithms. One of the most popular algorithms is [Formula Omitted]-nearest neighbor algorithm. While how to decide the [Formula Omitted] value in estimation is still a problem. In addition, traditional received signal strength indicator (RSSI)-based algorithms suffer from multipath effects, it is difficult to further improve the localization accuracy. In this paper, we analyze the similarity of backscatter signals and present a novel range based indoor localization method, SAIL. According to the propagation distances of signals, reference tags that have similar distances to a reader antenna can be considered as a group. Inspired by the idea of grouping, clustering algorithm is utilized to get candidate tags for ranging. This method does not need to fix the number of reference tags in estimation. Besides RSSI, the RFID reader can also extract phase of signals coming from backscattered signals of responding tags. This guides us to combine RSSI and phase in similarity measure for clustering. In the simulation and experimental tests, SAIL is superior to other RFID schemes considering cost, location estimation error, and flexibility.  | 
    
| Author | Jianfu Teng Yang Zhao Yangguang Zang Yongtao Ma Kaihua Liu Zheng Gao  | 
    
| Author_xml | – sequence: 1 givenname: Yang orcidid: 0000-0002-2749-0447 surname: Zhao fullname: Zhao, Yang – sequence: 2 givenname: Kaihua surname: Liu fullname: Liu, Kaihua – sequence: 3 givenname: Yongtao surname: Ma fullname: Ma, Yongtao – sequence: 4 givenname: Zheng surname: Gao fullname: Gao, Zheng – sequence: 5 givenname: Yangguang surname: Zang fullname: Zang, Yangguang – sequence: 6 givenname: Jianfu surname: Teng fullname: Teng, Jianfu  | 
    
| BookMark | eNp9kMFPwjAUxhuDiYD-AcZLE8_Ddt3W9QgIgiFqBKK3petaLG4rtsME_3o3Rzx48PLeO_y-9-X7eqBTmlICcInRAGPEbu6Xk4eBj3A08CM_IDg4AV0chrGHaRB3mpsgLyD09Qz0nNsihBkNaRcUS13onFtdHeCw5PnBaeeNuJMZnJeZMRYujOC5_uKVNiUc5htTs28FfKknHHHx7gSvKmlrXBlbtJhR8Ik7pz8lXM-m8Hk6v4UrvnHn4FTx3MmL4-6D9XSyGs-8xePdfDxceMJnpPJCyogQhFMiRUaRjGMSoczPkIiiNFIiZYFQaciUYjzgqYijkAcpY77CLENIkT64bv_urPnYS1clW7O3dTyX4DiIaxMW-TWFW0pY45yVKtlZXXB7SDBKmlaTptWkaTU5tlpr6B-N0NVP6Mpynf-rvGqVWkr560QpwThm5BvaKIfd | 
    
| CODEN | ISJEAZ | 
    
| CitedBy_id | crossref_primary_10_1007_s10776_017_0372_1 crossref_primary_10_3390_electronics8080887 crossref_primary_10_1109_JSEN_2019_2914914 crossref_primary_10_3390_electronics10131548 crossref_primary_10_1007_s00500_018_3212_z crossref_primary_10_1109_ACCESS_2018_2844739 crossref_primary_10_3390_s23157001 crossref_primary_10_1109_JIOT_2023_3262779 crossref_primary_10_1145_3314418 crossref_primary_10_1109_JIOT_2022_3148198 crossref_primary_10_1109_JSEN_2020_3023096 crossref_primary_10_1109_JSEN_2020_2982582 crossref_primary_10_1109_TIM_2018_2791238 crossref_primary_10_1109_JIOT_2019_2907771 crossref_primary_10_1109_JRFID_2020_3011722 crossref_primary_10_3390_electronics12245020 crossref_primary_10_1109_TIM_2018_2834078 crossref_primary_10_1109_JSEN_2022_3215173 crossref_primary_10_1016_j_compag_2023_107764 crossref_primary_10_1016_j_measurement_2021_110283 crossref_primary_10_1109_JRFID_2022_3145153 crossref_primary_10_1109_JSEN_2024_3355245 crossref_primary_10_1109_ACCESS_2019_2939151 crossref_primary_10_1109_TIM_2018_2869408 crossref_primary_10_1109_JRFID_2022_3233855 crossref_primary_10_1109_TVT_2018_2870160 crossref_primary_10_1109_JSEN_2018_2832216 crossref_primary_10_1038_s41598_022_08229_6 crossref_primary_10_1049_iet_com_2018_5845 crossref_primary_10_1109_ACCESS_2019_2910211 crossref_primary_10_1109_TIM_2020_3033728 crossref_primary_10_1016_j_procs_2019_01_271 crossref_primary_10_1088_1755_1315_153_5_052007 crossref_primary_10_1109_ACCESS_2022_3152199 crossref_primary_10_3390_s22166287 crossref_primary_10_1080_09205071_2023_2216389 crossref_primary_10_1109_ACCESS_2020_2971269 crossref_primary_10_2528_PIERM18082904 crossref_primary_10_1088_2631_8695_ad7dcf crossref_primary_10_3390_s21093286 crossref_primary_10_1109_TASE_2019_2895104 crossref_primary_10_3390_s20143933 crossref_primary_10_1109_JIOT_2018_2856242 crossref_primary_10_1145_3351278 crossref_primary_10_3390_app11188254 crossref_primary_10_1109_JRFID_2019_2924346 crossref_primary_10_3390_s17061391 crossref_primary_10_3390_s19040968 crossref_primary_10_1109_TASE_2021_3057433  | 
    
| Cites_doi | 10.1109/RFID.2010.5467268 10.1109/JSEN.2013.2286220 10.1109/TVT.2008.926071 10.1109/TIE.2013.2264785 10.1109/INFCOM.2007.147 10.1109/LCOMM.2015.2450217 10.1109/TIM.2014.2363578 10.1186/1687-1499-2014-208 10.1109/TMTT.2013.2287183 10.1186/1687-1499-2012-3 10.1109/JSEN.2016.2535250 10.1109/JSEN.2014.2328353 10.1109/INFOCOM.2014.6847960 10.1023/B:WINE.0000044029.06344.dd 10.1145/2639108.2639111 10.1109/RFID.2011.5764608 10.1109/RFID.2010.5467253 10.1109/TCOMM.2013.012313.110509 10.1109/TIE.2013.2248333 10.1109/TNN.2005.845141  | 
    
| ContentType | Journal Article | 
    
| Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017 | 
    
| Copyright_xml | – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017 | 
    
| DBID | 97E RIA RIE AAYXX CITATION 7SP 7U5 8FD L7M  | 
    
| DOI | 10.1109/JSEN.2016.2624314 | 
    
| DatabaseName | IEEE All-Society Periodicals Package (ASPP) 2005–Present IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) CrossRef Electronics & Communications Abstracts Solid State and Superconductivity Abstracts Technology Research Database Advanced Technologies Database with Aerospace  | 
    
| DatabaseTitle | CrossRef Solid State and Superconductivity Abstracts Technology Research Database Advanced Technologies Database with Aerospace Electronics & Communications Abstracts  | 
    
| DatabaseTitleList | Solid State and Superconductivity Abstracts  | 
    
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher  | 
    
| DeliveryMethod | fulltext_linktorsrc | 
    
| Discipline | Geography Engineering  | 
    
| EISSN | 1558-1748 | 
    
| EndPage | 193 | 
    
| ExternalDocumentID | 10_1109_JSEN_2016_2624314 7731189  | 
    
| Genre | orig-research | 
    
| GrantInformation_xml | – fundername: National Natural Science Foundation of China grantid: 61401301 funderid: 10.13039/501100001809 – fundername: Tianjin Research Program of Application Foundation and Advanced Technology grantid: 15JCQNJC41900  | 
    
| GroupedDBID | -~X 0R~ 29I 4.4 5GY 6IK 97E AAJGR AARMG AASAJ AAWTH ABAZT ABQJQ ABVLG ACGFO ACGFS ACIWK AENEX AGQYO AHBIQ AJQPL AKJIK AKQYR ALMA_UNASSIGNED_HOLDINGS ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 EBS EJD F5P HZ~ IFIPE IPLJI JAVBF LAI M43 O9- OCL P2P RIA RIE RNS TWZ AAYXX CITATION 7SP 7U5 8FD L7M RIG  | 
    
| ID | FETCH-LOGICAL-c293t-5793cc3a73ecd70e88360d2d0c66b6fcb94cfb59ff9a4abc865a4b992f19d00f3 | 
    
| IEDL.DBID | RIE | 
    
| ISSN | 1530-437X | 
    
| IngestDate | Mon Jun 30 10:26:58 EDT 2025 Wed Oct 01 04:14:26 EDT 2025 Thu Apr 24 23:06:02 EDT 2025 Wed Aug 27 03:03:37 EDT 2025  | 
    
| IsPeerReviewed | true | 
    
| IsScholarly | true | 
    
| Issue | 1 | 
    
| Language | English | 
    
| License | https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html | 
    
| LinkModel | DirectLink | 
    
| MergedId | FETCHMERGED-LOGICAL-c293t-5793cc3a73ecd70e88360d2d0c66b6fcb94cfb59ff9a4abc865a4b992f19d00f3 | 
    
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14  | 
    
| ORCID | 0000-0002-2749-0447 | 
    
| PQID | 1848293962 | 
    
| PQPubID | 75733 | 
    
| PageCount | 9 | 
    
| ParticipantIDs | crossref_primary_10_1109_JSEN_2016_2624314 proquest_journals_1848293962 ieee_primary_7731189 crossref_citationtrail_10_1109_JSEN_2016_2624314  | 
    
| ProviderPackageCode | CITATION AAYXX  | 
    
| PublicationCentury | 2000 | 
    
| PublicationDate | 2017-Jan.1,-1 2017-1-1 20170101  | 
    
| PublicationDateYYYYMMDD | 2017-01-01 | 
    
| PublicationDate_xml | – month: 01 year: 2017 text: 2017-Jan.1,-1 day: 01  | 
    
| PublicationDecade | 2010 | 
    
| PublicationPlace | New York | 
    
| PublicationPlace_xml | – name: New York | 
    
| PublicationTitle | IEEE sensors journal | 
    
| PublicationTitleAbbrev | JSEN | 
    
| PublicationYear | 2017 | 
    
| Publisher | IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE)  | 
    
| Publisher_xml | – name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)  | 
    
| References | ref13 ref12 ref15 ref14 ref11 ref22 ref10 ref21 ref2 ref1 ref17 ref16 ref18 ref8 ref7 ref9 ref4 ref3 ref6 povala? (ref19) 2010 ref5 li (ref20) 2009  | 
    
| References_xml | – ident: ref9 doi: 10.1109/RFID.2010.5467268 – ident: ref7 doi: 10.1109/JSEN.2013.2286220 – ident: ref3 doi: 10.1109/TVT.2008.926071 – ident: ref10 doi: 10.1109/TIE.2013.2264785 – ident: ref15 doi: 10.1109/INFCOM.2007.147 – ident: ref18 doi: 10.1109/LCOMM.2015.2450217 – ident: ref22 doi: 10.1109/TIM.2014.2363578 – ident: ref17 doi: 10.1186/1687-1499-2014-208 – ident: ref21 doi: 10.1109/TMTT.2013.2287183 – ident: ref1 doi: 10.1186/1687-1499-2012-3 – ident: ref11 doi: 10.1109/JSEN.2016.2535250 – start-page: 1 year: 2010 ident: ref19 article-title: Phase of arrival ranging method for UHF RFID tags using instantaneous frequency measurement publication-title: Proc ICECom Conf – ident: ref2 doi: 10.1109/JSEN.2014.2328353 – ident: ref13 doi: 10.1109/INFOCOM.2014.6847960 – start-page: 147 year: 2009 ident: ref20 article-title: Multifrequency-based range estimation of RFID tags publication-title: Proc IEEE Int Conf – ident: ref12 doi: 10.1023/B:WINE.0000044029.06344.dd – ident: ref14 doi: 10.1145/2639108.2639111 – ident: ref8 doi: 10.1109/RFID.2011.5764608 – ident: ref6 doi: 10.1109/RFID.2010.5467253 – ident: ref4 doi: 10.1109/TCOMM.2013.012313.110509 – ident: ref5 doi: 10.1109/TIE.2013.2248333 – ident: ref16 doi: 10.1109/TNN.2005.845141  | 
    
| SSID | ssj0019757 | 
    
| Score | 2.4004345 | 
    
| Snippet | Passive radio frequency identification (RFID) is a low cost and low complexity localization technology. With introduction of reference tags, RFID technology... | 
    
| SourceID | proquest crossref ieee  | 
    
| SourceType | Aggregation Database Enrichment Source Index Database Publisher  | 
    
| StartPage | 185 | 
    
| SubjectTerms | Algorithm design and analysis Algorithms Antennas Backscattering Clustering Computer simulation Estimation Localization Localization method Pattern analysis Pattern matching phase Phase measurement Radio frequency identification Receivers RFID localization RSSI SAIL Sensors Signal strength Similarity Tags Very high frequencies  | 
    
| Title | Similarity Analysis-Based Indoor Localization Algorithm With Backscatter Information of Passive UHF RFID Tags | 
    
| URI | https://ieeexplore.ieee.org/document/7731189 https://www.proquest.com/docview/1848293962  | 
    
| Volume | 17 | 
    
| hasFullText | 1 | 
    
| inHoldings | 1 | 
    
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVIEE databaseName: IEEE Electronic Library (IEL) customDbUrl: eissn: 1558-1748 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0019757 issn: 1530-437X databaseCode: RIE dateStart: 20010101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE  | 
    
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LTxsxEB5BLqWHQoGKFFr50FPFBmft9a6PQIkCKqgqROS28hNQSbYiyQF-PWPHiehDVS8rH8aSV-PxfH583wB8csJKV-DqZ2zFM-4tDYXcMfCYz7m2uZJRMv_8QvQH_GxYDFdgf8mFcc7Fx2euE5rxLt82ZhaOyg7KkiEelquwWlZiztVa3hjIMqp6YgDTjLNymG4wu1QenF2eXIRHXKKTixwTJv8lB8WiKn-sxDG99NbhfDGw-auSH53ZVHfM02-ajf878g14k3AmOZxPjLew4sab8PqF-uAmvEoF0G8ft2B0eTe6w00uYnKy0CnJjjDDWXI6tk3zQL6GpJdIm-Tw_qZB29sRucYvOQpEfROVOkniN0WzxpNvCM5xQSWDfo98751-IVfqZrINg97J1XE_S5UYMoNwYJoVGMXGMFUyZ2xJXRWoHza31AgR2EJacuN1Ib2XiittKlEorqXMfVdaSj17B61xM3Y7QGzphPaGM0o1L2hXK1ZQJbziCC1MxdpAF76pTZIpD9Uy7uu4XaGyDu6sgzvr5M42fF52-TnX6PiX8VZwz9IweaYNe4sJUKcontS4-63w_6XI3_-91y6s5SHNxyOZPWhNH2buA4KUqf4YZ-czIvzjOg | 
    
| linkProvider | IEEE | 
    
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LbxMxEB6VcigcCrRUpBTwgRNiU2fX9q6PLTRKShIhmojcVn62FU0WtckBfj1jx4l4CXFZ-TCWvBqP5_Pj-wbgtRNWOo6rn7EVy5i3NBRyx8ArfM60zZWMkvnDkehN2PmUT7fg7YYL45yLj89cOzTjXb5tzDIclR2XZYF4WN6D-5wxxldsrc2dgSyjrieGMM1YUU7THWaHyuPzi7NReMYl2rnIMWWyX7JQLKvyx1ocE0z3EQzXQ1u9K_nSXi5023z_TbXxf8f-GHYT0iQnq6nxBLbcfA8e_qQ_uAc7qQT61bd9mF1cz65xm4uonKyVSrJTzHGW9Oe2aW7JIKS9RNskJzeXDdpezchn_JLTQNU3UauTJIZTNGs8-YjwHJdUMul1yadu_z0Zq8u7pzDpno3f9bJUiyEzCAgWGcc4NqZQZeGMLamrAvnD5pYaIQJfSEtmvObSe6mY0qYSXDEtZe470lLqiwPYnjdz9wyILZ3Q3rCCUs047WhVcKqEVwzBhamKFtC1b2qThMpDvYybOm5YqKyDO-vgzjq5swVvNl2-rlQ6_mW8H9yzMUyeacHRegLUKY7vatz_Vvj_UuSHf-_1CnZ64-GgHvRHH57Dgzwk_XhAcwTbi9ule4GQZaFfxpn6Ay8L5oc | 
    
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Similarity+Analysis-Based+Indoor+Localization+Algorithm+With+Backscatter+Information+of+Passive+UHF+RFID+Tags&rft.jtitle=IEEE+sensors+journal&rft.au=Zhao%2C+Yang&rft.au=Liu%2C+Kaihua&rft.au=Ma%2C+Yongtao&rft.au=Gao%2C+Zheng&rft.date=2017-01-01&rft.issn=1530-437X&rft.eissn=1558-1748&rft.volume=17&rft.issue=1&rft.spage=185&rft.epage=193&rft_id=info:doi/10.1109%2FJSEN.2016.2624314&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_JSEN_2016_2624314 | 
    
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1530-437X&client=summon | 
    
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1530-437X&client=summon | 
    
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1530-437X&client=summon |