Project details

School of Electrical & Electronic Engineering


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Proj No. A3144-251
Title BLE-based localization using Energy-Based Ratio and Maximum Likelihood Estimation
Summary The project proposes a BLE-based Wireless Sensor Network for indoor localization, where BLE beacons act as anchor nodes and a mobile phone serves as the sink node. RSSI values from the anchors are processed to perform live tracking of the mobile device. Two algorithms are implemented and compared: Energy-Based Ratio (EBR) and Maximum Likelihood Estimation (MLE). The algorithms are first simulated in MATLAB, then integrated into a mobile application built in Android Studio for real-time demonstration and visualization. Experiments are conducted under Line-of-Sight (LOS) conditions to provide a clean comparison of the two methods, with MATLAB analysis of logged data providing systematic evaluation and comparison of EBR and MLE accuracy.
Supervisor A/P Xu Yan (Loc:S2 > S2 B2C > S2 B2C 111, Ext: +65 67904508)
Co-Supervisor -
RI Co-Supervisor -
Lab Communication Research I (Loc: S2.1-B4-04)
Single/Group: Single
Area: Wireless and Communications Engineering
ISP/RI/SMP/SCP?: