WLAN localization technique using trilateration

dc.contributor.advisorRaju, G.V.S.
dc.contributor.authorVuddaraju, Rajiv Ravi Varma
dc.contributor.committeeMemberHansen, Lars K.
dc.contributor.committeeMemberBhalla, Amar
dc.date.accessioned2024-03-08T15:59:32Z
dc.date.available2024-03-08T15:59:32Z
dc.date.issued2009
dc.descriptionThis item is available only to currently enrolled UTSA students, faculty or staff. To download, navigate to Log In in the top right-hand corner of this screen, then select Log in with my UTSA ID.
dc.description.abstractThis thesis deals with the problem of estimating the position of a client (laptop or a computer) in a Wireless LAN (WLAN) Environment. Our method uses an infrastructure of Reference Points (RPs), whose positions are known, deployed in an area where the client's location is to be estimated. WLAN transmitters (SMTs), placed at the periphery of the WLAN environment, transmit messages (SMs) at multiple power levels into this environment such that each position corresponds to a unique set of messages. The client and the reference points report the received messages to a Localisation Centre (LC), which compares the messages reported by the client and those by each of the RPs to calculate the location of the client. The effect of interference in WLAN environments is discussed in detail and various remedies are presented to deal with the interference. We have conducted experiments for different values of confidence levels to study the performance of our method. We observe that the proposed method determines the location of the client within 3-7.5 feet of its true location.
dc.description.departmentElectrical and Computer Engineering
dc.format.extent83 pages
dc.format.mimetypeapplication/pdf
dc.identifier.isbn9781109541045
dc.identifier.urihttps://hdl.handle.net/20.500.12588/5909
dc.languageen
dc.subjectLocalization
dc.subjectTrilateration
dc.subjectWLAN
dc.subjectWLAN Localization
dc.subject.classificationElectrical engineering
dc.subject.classificationComputer engineering
dc.titleWLAN localization technique using trilateration
dc.typeThesis
dc.type.dcmiText
dcterms.accessRightspq_closed
thesis.degree.departmentElectrical and Computer Engineering
thesis.degree.grantorUniversity of Texas at San Antonio
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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