Related Experiment Videos
Modeling Infrared Signal Reflections to Characterize Indoor Multipath Propagation
Álvaro De-La-Llana-Calvo1, José Luis Lázaro-Galilea2, Alfredo Gardel-Vicente3
1Department of electronics, University of Alcalá, Alcalá de Henares, 28801 Madrid, Spain. alvaro.llana@uah.es.
Sensors (Basel, Switzerland)
|April 14, 2017
Summary
This study introduces a simplified model to accurately predict infrared (IR) signal reflections for local positioning systems (LPS). The new method significantly reduces multipath errors, improving IR-LPS accuracy with minimal measurements.
Area of Science:
- Optical Engineering
- Signal Processing
- Indoor Positioning Systems
Background:
- Infrared (IR) signals are used in Local Positioning Systems (LPS) for accurate positioning.
- Multipath (MP) propagation of IR signals is a primary source of error in IR-LPS.
- Existing methods for characterizing IR signal reflections are complex and require restrictive conditions.
Purpose of the Study:
- To propose a simplified model for characterizing IR signal reflections on various surfaces.
- To develop an easy-to-implement procedure for computing model parameters.
- To mitigate the impact of MP on IR-LPS accuracy.
Main Methods:
- A novel model based on two reflection components is presented.
- A simplified procedure using 12 empirical measurements for parameter determination is introduced.
- The model is validated in real-world environments with different surface materials.
Main Results:
- The proposed model accurately characterizes IR MP behavior across diverse surfaces.
- Experimental results show mean errors between 1% and 4%, significantly outperforming.
- State-of-the-art methods achieved mean errors ranging from 15% to 40%.
Conclusions:
- The simplified IR reflection model offers a comprehensive and accurate solution for IR-LPS.
- The method effectively reduces positioning errors caused by multipath propagation.
- This approach enhances the practical applicability and accuracy of IR-based positioning technologies.