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A Wi-Fi-Based Wireless Indoor Position Sensing System with Multipath Interference Mitigation.

Tuo Xie¹, Hanjun Jiang², Xijin Zhao³

¹Institute of Microelectronics, Tsinghua University, Beijing 100084, China. xie-t12@mails.tsinghua.edu.cn.

Sensors (Basel, Switzerland)

|September 22, 2019

Summary

This summary is machine-generated.

This study introduces a Wi-Fi indoor positioning method combining received signal strength indicator (RSSI) and time difference of arrival (TDoA) to overcome multipath interference. The novel approach achieves precise indoor location sensing with a 90th percentile error of 0.3 meters.

Keywords:

RSSI TDoA Wi-Fi indoor position sensing multipath interference

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Area of Science:

Wireless communication
Indoor positioning systems
Signal processing

Background:

Wi-Fi-based indoor positioning offers convenient integration and low cost using existing infrastructure.
Current methods relying on Received Signal Strength Indicator (RSSI) are susceptible to multipath interference in complex indoor environments.

Purpose of the Study:

To propose and validate a novel Wi-Fi indoor positioning method that mitigates multipath interference.
To enhance the accuracy of indoor location sensing by combining RSSI and Time Difference of Arrival (TDoA) techniques.

Main Methods:

Developed an RSSI-assisted Time Difference of Arrival (TDoA) method for Wi-Fi indoor positioning.
Implemented a prototype system to evaluate the proposed technique.
Analyzed and compensated for multipath interference using coarse RSSI estimations and TDoA calculations.

Main Results:

The proposed method effectively handles multipath interference, particularly with small propagation delay differences.
Experimental validation demonstrated a 90th percentile error of 0.3 meters for the indoor position sensing system.
The system exhibits moderate computational complexity and real-time performance compared to existing solutions.

Conclusions:

The RSSI-assisted TDoA method significantly improves Wi-Fi indoor positioning accuracy by addressing multipath effects.
The developed system provides a practical and effective solution for precise indoor location sensing.
This approach offers a balanced trade-off between accuracy, computational load, and real-time capability.