Definition of a Neural Network for an IR Positioning System based on Energy Measurements
Molto D, Aparicio-Esteve E, Hernandez A, Feigl T, Mutschler C, Urena J (2025)
Publication Type: Conference contribution
Publication year: 2025
Publisher: Institute of Electrical and Electronics Engineers Inc.
Conference Proceedings Title: Proceedings of the 15th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2025
Event location: Tampere, FIN
ISBN: 9798331556808
DOI: 10.1109/IPIN66788.2025.11213161
Abstract
Infrared Local Positioning Systems (IRLPS) offer a cost-effective and accurate alternative for indoor localization, where GNSS signals are typically not available. Despite their potential, IRLPS face significant challenges such as noise, multipath effects, multiple access interference, and calibration requirements, which limit their performance. In response, this work explores the integration of machine learning by proposing a Feedforward Neural Network (FNN) trained on energy measurements collected from a quadrant photodiode. We conducted a thorough analysis of hyperparameters and an ablation study across five neural network topologies and identified configurations that balance accuracy and model complexity. Experimental evaluations in a controlled indoor environment (2.4×2.4×3.4 m3) demonstrate that even simple FNN architectures can generalize well and achieve a high accuracy, with 90% of the positioning errors being below 0.05 m.
Involved external institutions
Universidad de Alcalá (UAH)
Spain (ES)
Fraunhofer-Institut für Integrierte Schaltungen (IIS)
Germany (DE)
Spain (ES)
Fraunhofer-Institut für Integrierte Schaltungen (IIS)
Germany (DE)
How to cite
APA:
Molto, D., Aparicio-Esteve, E., Hernandez, A., Feigl, T., Mutschler, C., & Urena, J. (2025). Definition of a Neural Network for an IR Positioning System based on Energy Measurements. In Jari Nurmi, Simona Lohan, Aleksandr Ometov, Lucie Klus, Christopher Mutschler, Joaquin Torres-Sospedra (Eds.), Proceedings of the 15th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2025. Tampere, FIN: Institute of Electrical and Electronics Engineers Inc..
MLA:
Molto, David, et al. "Definition of a Neural Network for an IR Positioning System based on Energy Measurements." Proceedings of the 15th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2025, Tampere, FIN Ed. Jari Nurmi, Simona Lohan, Aleksandr Ometov, Lucie Klus, Christopher Mutschler, Joaquin Torres-Sospedra, Institute of Electrical and Electronics Engineers Inc., 2025.
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