Indoor Localization with smartphone using BLE iBeacon
In this thesis, an indoor positioning system based on iBeacon and phone sensors was presented. In this thesis, we propose a real-time indoor positioning system in smartphone via BLE iBeacon signal. In which, we used embedded sensors for displacement calculation and BLE iBeacon signal as a calibrat...
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oai:112.137.131.14:VNU_123-1007092021-01-04T02:56:48Z Indoor Localization with smartphone using BLE iBeacon Dương, Ngọc Sơn Dinh, Thi Thai Mai ĐHQGHN - Trường Đại học Công nghệ a In this thesis, an indoor positioning system based on iBeacon and phone sensors was presented. In this thesis, we propose a real-time indoor positioning system in smartphone via BLE iBeacon signal. In which, we used embedded sensors for displacement calculation and BLE iBeacon signal as a calibrated opportunity for sensor-based IPS. Firstly, we investigate the problems associated with the uncertainty of RSS, then offer solution for RSS-based locating moving target under low sampling rate. Secondly, we proposed method of improving accuracy for LSE method. Improved LSE-based position then fused with PDR-based position using Kalman filter to produce more accurate positions. The accuracy of the proposed approaches proved high persuasion for service providers to deploy this low-complexity system for various location-based services. Communication Engineering 2021-01-04T02:56:48Z 2021-01-04T02:56:48Z 2020 Thesis 00051000572 Duong, N. S. (2020). Indoor Localization with smartphone using BLE iBeacon. Master’s thesis, Vietnam National University, Hanoi 8510302.02 http://repository.vnu.edu.vn/handle/VNU_123/100709 DU-S en 50 p. application/pdf |
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In this thesis, an indoor positioning system based on iBeacon and phone sensors was presented. In this thesis, we propose a real-time indoor positioning system in smartphone via BLE iBeacon signal. In which, we used embedded sensors for displacement calculation and BLE iBeacon signal as a calibrated opportunity for
sensor-based IPS. Firstly, we investigate the problems associated with the uncertainty of RSS, then offer solution for RSS-based locating moving target under low sampling rate. Secondly, we proposed method of improving accuracy for LSE method. Improved LSE-based position then fused with PDR-based position using Kalman filter to produce more accurate positions. The accuracy of the proposed approaches proved high persuasion for service providers to deploy this low-complexity system for various location-based services. |
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Dinh, Thi Thai Mai |
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Dinh, Thi Thai Mai Dương, Ngọc Sơn |
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Theses and Dissertations |
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Dương, Ngọc Sơn |
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Dương, Ngọc Sơn |
title |
Indoor Localization with smartphone using BLE iBeacon |
title_short |
Indoor Localization with smartphone using BLE iBeacon |
title_full |
Indoor Localization with smartphone using BLE iBeacon |
title_fullStr |
Indoor Localization with smartphone using BLE iBeacon |
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Indoor Localization with smartphone using BLE iBeacon |
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indoor localization with smartphone using ble ibeacon |
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2021 |
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http://repository.vnu.edu.vn/handle/VNU_123/100709 |
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