par S. M. Monfared, Shaghayegh 
;Nguyen, Trung-Hien ;Petrillo, Luca ;De Doncker, Philippe ;Horlin, François
Référence (09-12 September, 2018: Bologna, Italy), Proc. of the IEEE 29th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC
Publication Publié, 2018-09
;Nguyen, Trung-Hien ;Petrillo, Luca ;De Doncker, Philippe ;Horlin, François Référence (09-12 September, 2018: Bologna, Italy), Proc. of the IEEE 29th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC
Publication Publié, 2018-09
Publication dans des actes
| Résumé : | The introduction of the Bluetooth Low Energy (BLE) standard significantly streamlines the development of the Internet of Things (IoT) applications. These applications often require the sensor positioning to link the measurements with its location. Therefore, it is essential to conduct studies on BLE transmitter positioning methods. Power fingerprinting transmitter positioning approaches are commonly used in BLE network. However, these methods have their own limitations in terms of practical use and ease of implementation. The purpose is to develop a simple BLE transmitter positioning of high accuracy. In this paper, a BLE transmitter positioning method is proposed based on Angle of Arrival (AOA) estimation. Multiple Signal Classification (MUSIC) algorithm is used for angle estimation due to the high angular resolution and sensitivity. Several experiments have been conducted in an indoor environment and the results compared with simulation results. Experimental results show that our proposed BLE transmitter positioning method achieves a promising positioning accuracy. |
