Many recent and future mobile applications in military and civilian facilities demand accurate estimates of the location of an item or person. Consequently, the mobile positioning service is becoming one of the key functions in mobile networks. Currently, the Global Position System (GPS) and cellular network is widely used to locate a user position in outdoor environments. However, satellite and mobile phone base-station based localization techniques require a LOS transmission channel and stops working in a non-LOS environment such as an indoors area[2]. Thus, many solutions and algorithms for indoors localization have been investigated and proposed during the last decade. However, it is difficult to achieve an accurate, low-cost and low-power indoors localization system.

 Since the invention of the Bluetooth Low Energy (BLE) and smart mobile devices with Bluetooth 4 (Smart Bluetooth) access functions have grown in popularity, indoor localization based on BLE technology has become an important research topic. Instead of using a Wi-Fi router, Bluetooth 4 based localization systems locate the position of a mobile device by receiving the Received Signal Strength (RSS) from a low-energy Bluetooth beacon in an indoors area.

Recently, this research focuses on the positioning of mobile devices in indoors environments which includes:

1. Central core based Triangulation algorithm and weight framework implementation

2. Adaptive filters design targeting RSSI stabilization and de-noising

3. Wi-Fi and BLE based hybrid network design

Recent Publications:

[1]   X. Hou, T. Arslan, A. Juri, and F. Wang, "Indoor Localization for Bluetooth Low Energy Devices Using Weighted Off-set Triangulation Algorithm," in ION GNSS, Portland,US, 2016.

[2]   X. Hou, T. Arslan and A. Juri, “A Received Signal Strength based Self-adaptive Algorithm Targeting for Indoor Positioning,” in 2016 International Navigation Conference (INC), Glasgow, 2016.