AOA-Based BLE Localization with Carrier Frequency Offset Mitigation
Xinyou Qiu, Bowen Wang, Jian Wang, Yuan Shen
Abstract
In this paper, we propose a high accuracy angle of arrival (AOA) estimation algorithm for Bluetooth Low Energy (BLE) localization. Traditional algorithms often concentrate on mitigating the measurement noise caused by BLE hardware deficiencies. On the contrary, our algorithm takes the carrier frequency offset (CFO) into account, we characterize how the CFO impact the BLE localization performance and derive the localization error bound. We then develop a Maximum Likelihood (ML) based weighted iterative algorithm to jointly estimate the CFO and AOA from the received signal. Finally, a numerical simulation and an experimental platform are established to verify the feasibility of our algorithm.
Topics & Concepts
Carrier frequency offsetComputer scienceAngle of arrivalOffset (computer science)AlgorithmBluetooth Low EnergyFrequency offsetBluetoothTime of arrivalEnergy (signal processing)Signal-to-noise ratio (imaging)SIGNAL (programming language)Real-time computingElectronic engineeringWirelessTelecommunicationsOrthogonal frequency-division multiplexingStatisticsMathematicsEngineeringChannel (broadcasting)Programming languageAntenna (radio)Indoor and Outdoor Localization TechnologiesBluetooth and Wireless Communication TechnologiesPower Line Communications and Noise