Research and Implementation of Indoor Positioning Algorithm Based on Bluetooth 5.1 AOA and AOD

Area of Science:

• Wireless Communication and Navigation
• Signal Processing for Positioning Systems

Background:

• Bluetooth 5.1 introduced Angle of Arrival (AOA) and Angle of Departure (AOD) direction-finding, making it a promising technology for indoor positioning due to its low cost and power consumption.
• Existing indoor positioning systems using Bluetooth AOA/AOD often employ simplistic algorithms, leading to poor accuracy, limited real-time performance, and susceptibility to multipath propagation issues across diverse scenarios.

Purpose of the Study:

• To address the limitations of current Bluetooth AOA/AOD indoor positioning algorithms.
• To propose and evaluate an optimized approach integrating least squares and anti-multipath algorithms for enhanced positioning accuracy and robustness.

Main Methods:

• Analyzed the principles of Bluetooth direction-finding (AOA/AOD) and array signal Direction of Departure (DOA) estimation.
• Integrated the least squares algorithm to minimize positioning errors and improve accuracy.
• Incorporated an anti-multipath interference algorithm to counteract signal reflections in various environments.

Main Results:

• The proposed algorithms effectively mitigate accuracy errors inherent in standalone Bluetooth AOA/AOD methods.
• Significant improvements in real-time performance were observed compared to existing solutions.
• The developed algorithms successfully overcome the detrimental effects of multipath propagation in indoor environments.

Conclusions:

• The study presents an efficient and applicable solution for Bluetooth AOA and AOD indoor positioning.
• The integrated approach enhances positioning accuracy, real-time capabilities, and robustness against multipath effects.
• This research paves the way for more reliable and widespread adoption of Bluetooth for indoor navigation.