Experimental Demonstration for Indoor Localization Based on AoA of Bluetooth 5.1 Using Software Defined Radio

The new direction-finding feature incorporated in version 5.1 of the Bluetooth Core Specification accelerates the development of applications in the context of the Internet of Things (IoT) for indoor localization and asset tracking. We evaluate the position of the Bluetooth Low Energy (BLE) transmitter based on the angle of arrival (AoA) mechanism proposed by the Bluetooth standard using Software Defined Radio (SDR). The system is comprised of a phased array antenna, an analog section for the conversion of Radio Frequency (RF) signals to the baseband, followed by a digital section for AoA estimation. The experimental results validate the proposal with precise estimates and a high resolution for the AoA. The proposed approach can be used for digital beamforming to increase the operating range or decrease the level of power consumed by BLE devices in IoT applications.

[1]  K. Viswavardhan Reddy,et al.  Direction Finding Capability in Bluetooth 5.1 Standard , 2019, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

[2]  Buyun Jia,et al.  A stochastic geometry approach to modeling time hopping based TDOA in 3D indoor localization , 2019 .

[3]  Liping Zhu,et al.  MIMO CSI-based Super-resolution AoA Estimation for Wi-Fi Indoor Localization , 2020, ICMLC.

[4]  Giuseppe Coviello,et al.  Angle of Arrival Estimation Through a Full-Hardware Approach for Adaptive Beamforming , 2020, IEEE Transactions on Circuits and Systems II: Express Briefs.

[5]  Johan Larsson.  Distance Estimation and Positioning Based on Bluetooth Low Energy Technology , 2015 .

[6]  François Horlin,et al.  Iterative Localization Method Using AoA for IoT Sensor Networks , 2019, 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring).

[7]  François Horlin,et al.  Experimental Demonstration of BLE Transmitter Positioning Based on AOA Estimation , 2018, 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).

[8]  Paul Patras,et al.  Dead on Arrival: An Empirical Study of The Bluetooth 5.1 Positioning System , 2019, WiNTECH.

[9]  János Kovács,et al.  Development of Bluetooth Mesh Core Stack using OmNET++ , 2019, 2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY).

[10]  Ziming Zhu,et al.  A Computationally Efficient Method for Direction Finding with Known Transmit Sequence , 2018, 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN).

[11]  Michele Caldara,et al.  Indoor distance estimated from Bluetooth Low Energy signal strength: Comparison of regression models , 2016, 2016 IEEE Sensors Applications Symposium (SAS).

[12]  Stephen Wang,et al.  Angle-of-Arrival Estimation Using an Adaptive Machine Learning Framework , 2019, IEEE Communications Letters.