Clustering Fusion Algorithm for ImprovedAccuracy in UWB Indoor Positioning

Clustering Fusion Algorithm for ImprovedAccuracy in UWB Indoor Positioning | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Clustering Fusion Algorithm for ImprovedAccuracy in UWB Indoor Positioning Hua Guo, Haozhou Yin, Shanshan Song, Xiuwei Zhu, Daokuan Ren This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4117123/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 10 You are reading this latest preprint version Abstract Due to the presence of non-line-of-sight (NLOS) obstacles, the localization accuracy in ultra-wideband (UWB) wireless indoor localization systems is typically substantially lower. To minimize the influence of these environmental factors and improve the accuracy of indoor wireless positioning, a novel fusion optimization algorithm is proposed in this paper, which combines the density-based spatial clustering algorithm with noise (DBSCAN) and particle swarm optimization (PSO) algorithm. The positioning error of this algorithm remains is stable within 3 cm in static positioning scenarios, and can achieve high accuracy in NLOS environments. Physical sciences/Engineering/Electrical and electronic engineering Physical sciences/Mathematics and computing/Computer science Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 03 May, 2024 Reviews received at journal 30 Apr, 2024 Reviews received at journal 30 Apr, 2024 Reviewers agreed at journal 22 Apr, 2024 Reviewers agreed at journal 20 Apr, 2024 Reviewers invited by journal 12 Apr, 2024 Editor assigned by journal 10 Apr, 2024 Editor invited by journal 01 Apr, 2024 Submission checks completed at journal 01 Apr, 2024 First submitted to journal 17 Mar, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4117123","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":286128868,"identity":"12e50dd5-9c46-45ff-9f58-9ac7abfb7d3b","order_by":0,"name":"Hua Guo","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA4ElEQVRIiWNgGAWjYNCDDwY2doRVsUEoCRDBOKMgLZk0Lcw8Hw4xNhDSIT+/+diDDwx1debtvYdf2xgcYGZgP3x0Az4tBsfY0g1nMByWkDlzLs06x+AOHwNPWtoNvFrYeMykeRgOSEhI5JgZ5xg8Y2aQ4DHDq0W+DajlD0MdRIuFwWHGBkJaGI4BtQA9DtJi/JiBGC0Gx9LSJHsYDkvO4DljxthjkJbMRsgv8s2Hj0n8YKjjl2DvMf7w44+NHT/74WP4HQYCjP/AFBs4ctgIKkcCzB9IUT0KRsEoGAUjBwAAY4A/r8K3PHgAAAAASUVORK5CYII=","orcid":"","institution":"Shandong University of Science and Technology","correspondingAuthor":true,"prefix":"","firstName":"Hua","middleName":"","lastName":"Guo","suffix":""},{"id":286128869,"identity":"dbcc3ab8-f3b9-40f8-b706-00d9b1c52013","order_by":1,"name":"Haozhou Yin","email":"","orcid":"","institution":"Shandong University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Haozhou","middleName":"","lastName":"Yin","suffix":""},{"id":286128870,"identity":"7b772b93-077c-4f98-ba12-8dbbeed22c8b","order_by":2,"name":"Shanshan Song","email":"","orcid":"","institution":"Shandong University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Shanshan","middleName":"","lastName":"Song","suffix":""},{"id":286128871,"identity":"0be59013-a7df-4e55-923f-ca725e3c5e4b","order_by":3,"name":"Xiuwei Zhu","email":"","orcid":"","institution":"Shandong University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Xiuwei","middleName":"","lastName":"Zhu","suffix":""},{"id":286128874,"identity":"074bc7dd-909e-4338-8bb3-0bced5521627","order_by":4,"name":"Daokuan Ren","email":"","orcid":"","institution":"Shandong University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Daokuan","middleName":"","lastName":"Ren","suffix":""}],"badges":[],"createdAt":"2024-03-17 13:05:05","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4117123/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4117123/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":54158837,"identity":"2bca5d29-ab90-4d3e-88ef-8a572aa803e3","added_by":"auto","created_at":"2024-04-05 12:46:07","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1295257,"visible":true,"origin":"","legend":"","description":"","filename":"ClusteringFusionAlgorithmforImprovedAccuracy.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4117123/v1_covered_0fdffe4a-e7e6-4e1b-bf0c-9e26f6d277f7.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Clustering Fusion Algorithm for ImprovedAccuracy in UWB Indoor Positioning","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-4117123/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4117123/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Due to the presence of non-line-of-sight (NLOS) obstacles, the localization accuracy in ultra-wideband (UWB) wireless indoor localization systems is typically substantially lower. 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