WiFi/ PDR fusion localization algorithm.
<div><p>To address the issue of low precision in sensor data measured by smartphones, we propose a gyroscope-constrained magnetometer Pedestrian Dead Reckoning (PDR)/Wi-Fi indoor positioning algorithm, focusing on improving the PDR heading angle. We utilize the heading angle constrained...
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2025
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| _version_ | 1852015553947893760 |
|---|---|
| author | Ruiyi Tang (10302578) |
| author2 | Chengkai Tian (22492738) |
| author2_role | author |
| author_facet | Ruiyi Tang (10302578) Chengkai Tian (22492738) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ruiyi Tang (10302578) Chengkai Tian (22492738) |
| dc.date.none.fl_str_mv | 2025-10-24T17:25:02Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0335277.g005 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/WiFi_PDR_fusion_localization_algorithm_/30439411 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Evolutionary Biology Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified traditional pdr algorithm signal fingerprint density sensor data measured pdr heading angle optimized pdr algorithm improved pdr algorithm heading angle constrained extended kalman filter experimental results show average positioning error pdr )/ wi constrained magnetometer pdr xlink "> low precision integrating wi effectively doubling 71 meters 12 meters 07 meters 02 meters |
| dc.title.none.fl_str_mv | WiFi/ PDR fusion localization algorithm. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <div><p>To address the issue of low precision in sensor data measured by smartphones, we propose a gyroscope-constrained magnetometer Pedestrian Dead Reckoning (PDR)/Wi-Fi indoor positioning algorithm, focusing on improving the PDR heading angle. We utilize the heading angle constrained by the gyroscope and magnetometer and enhance fingerprint data using Kriging interpolation, effectively doubling the signal fingerprint density. We combine the optimized PDR algorithm and Wi-Fi fingerprint positioning results through an Extended Kalman Filter. Experimental results show that the traditional PDR algorithm has an average positioning error of 2.02 meters, with 90% of errors below 3.71 meters. The improved PDR algorithm reduces the average positioning error to 1.07 meters, with 90% of errors below 2.12 meters. Integrating Wi-Fi and the improved PDR algorithm further reduces the average positioning error to 0.71 meters, with 90% of errors below 1.42 meters.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_2d4c3d51be1ef7088dbef77ecfa2cf97 |
| identifier_str_mv | 10.1371/journal.pone.0335277.g005 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30439411 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | WiFi/ PDR fusion localization algorithm.Ruiyi Tang (10302578)Chengkai Tian (22492738)Evolutionary BiologyScience PolicySpace ScienceBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedtraditional pdr algorithmsignal fingerprint densitysensor data measuredpdr heading angleoptimized pdr algorithmimproved pdr algorithmheading angle constrainedextended kalman filterexperimental results showaverage positioning errorpdr )/ wiconstrained magnetometer pdrxlink ">low precisionintegrating wieffectively doubling71 meters12 meters07 meters02 meters<div><p>To address the issue of low precision in sensor data measured by smartphones, we propose a gyroscope-constrained magnetometer Pedestrian Dead Reckoning (PDR)/Wi-Fi indoor positioning algorithm, focusing on improving the PDR heading angle. We utilize the heading angle constrained by the gyroscope and magnetometer and enhance fingerprint data using Kriging interpolation, effectively doubling the signal fingerprint density. We combine the optimized PDR algorithm and Wi-Fi fingerprint positioning results through an Extended Kalman Filter. Experimental results show that the traditional PDR algorithm has an average positioning error of 2.02 meters, with 90% of errors below 3.71 meters. The improved PDR algorithm reduces the average positioning error to 1.07 meters, with 90% of errors below 2.12 meters. Integrating Wi-Fi and the improved PDR algorithm further reduces the average positioning error to 0.71 meters, with 90% of errors below 1.42 meters.</p></div>2025-10-24T17:25:02ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0335277.g005https://figshare.com/articles/figure/WiFi_PDR_fusion_localization_algorithm_/30439411CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/304394112025-10-24T17:25:02Z |
| spellingShingle | WiFi/ PDR fusion localization algorithm. Ruiyi Tang (10302578) Evolutionary Biology Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified traditional pdr algorithm signal fingerprint density sensor data measured pdr heading angle optimized pdr algorithm improved pdr algorithm heading angle constrained extended kalman filter experimental results show average positioning error pdr )/ wi constrained magnetometer pdr xlink "> low precision integrating wi effectively doubling 71 meters 12 meters 07 meters 02 meters |
| status_str | publishedVersion |
| title | WiFi/ PDR fusion localization algorithm. |
| title_full | WiFi/ PDR fusion localization algorithm. |
| title_fullStr | WiFi/ PDR fusion localization algorithm. |
| title_full_unstemmed | WiFi/ PDR fusion localization algorithm. |
| title_short | WiFi/ PDR fusion localization algorithm. |
| title_sort | WiFi/ PDR fusion localization algorithm. |
| topic | Evolutionary Biology Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified traditional pdr algorithm signal fingerprint density sensor data measured pdr heading angle optimized pdr algorithm improved pdr algorithm heading angle constrained extended kalman filter experimental results show average positioning error pdr )/ wi constrained magnetometer pdr xlink "> low precision integrating wi effectively doubling 71 meters 12 meters 07 meters 02 meters |