MOBILE APPLICATION FOR BLE INDOOR POSITIONING

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dc.contributor.authorMĂLUȚAN Raul
dc.contributor.authorBRISC Bianca
dc.date.accessioned2025-04-21T13:11:12Z
dc.date.issued2023-12-12
dc.description.abstractDistance estimation in indoor localization is mainly solved by Received Signal Strength Indicator (RSSI). In our approach, the RSSI is determined empirically, and it’s used to estimate the distance between the user and beacons in a mobile app solution. Trilateration and Kalman filter help obtain better accuracy. The paper proposes a classical solution for indoor localization, but with features like blueprint implementation, Google Maps integration, and manual beacon positioning.
dc.identifier.issn1221 – 6542
dc.identifier.urihttps://oasis.utcluj.app/handle/123456789/687
dc.language.isoen
dc.publisherTechnical University of Cluj-Napoca
dc.relation.ispartofseries63; 2
dc.subjectlocalization
dc.subjectBluetooth low energy
dc.subjecttrilateration
dc.subjectbeacon
dc.titleMOBILE APPLICATION FOR BLE INDOOR POSITIONING
dc.typedataset

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