BLE-Based Indoor Localization: Analysis of Some Solutions for Performance Improvement.

Area of Science:

• Engineering
• Computer Science
• Signal Processing

Background:

• Indoor localization systems are crucial for various applications.
• Bluetooth Low Energy (BLE) 5.0 offers a promising technology for indoor positioning.
• Existing BLE localization methods require further optimization and comparative analysis.

Purpose of the Study:

• To experimentally analyze and compare different solutions for improving BLE-based indoor localization performance.
• To identify the most effective techniques for enhancing the accuracy of BLE 5.0 localization systems.
• To evaluate the impact of RSSI signal conditioning and positioning algorithms on localization error.

Main Methods:

• Utilized an anchor-based system with Bluetooth Low Energy (BLE) 5.0 technology.
• Employed Received Signal Strength Indicator (RSSI) for distance estimation.
• Investigated various RSSI signal conditioning methods, distance estimation techniques, and position estimation approaches.
• Conducted an experimental campaign in a complex, dynamic indoor environment with obstacles.

Main Results:

• Multichannel transmission combined with RSSI signal aggregation demonstrated the most significant performance improvement.
• The localization system's positioning error was reduced from 1.5 meters to approximately 1 meter.
• Other examined solutions had a less pronounced impact, with varying effects on positioning errors based on their combination.

Conclusions:

• Multichannel transmission and RSSI aggregation are highly effective for enhancing BLE indoor localization accuracy.
• The study provides valuable insights into optimizing BLE 5.0 localization systems for complex environments.
• Further research can build upon these findings to develop even more robust indoor positioning solutions.