Computational Tool for Assessing and Comparing Indoor Localization Methods

Quispe-Delgado A.; Flores-Sana E.; Tamo A.; Hilario-Tacuri A. · Proceedings of the 2024 IEEE 31st International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2024 (2024) · DOI: 10.1109/intercon63140.2024.10833459

Resumen

This paper presents a computational tool designed to evaluate and compare various indoor localization methods. Recognizing the inherent limitations of satellite visibility in specific areas, this study explores alternative techniques for indoor localization, such as Received Signal Strength Indicator, Angle-of-Arrival, Time-of-Arrival, and Time-Difference-of-Arrival. Employing meticulous measurement and estimation procedures, the tool aims to provide reliable solutions for indoor positioning, with an educational focus in mind. Through the comprehensive evaluation of diverse indoor localization methods, the paper endeavors to identify the most effective and precise approaches under different parameters. This not only benefits professionals and academics in the field but also supports the learning and understanding of students interested in the development of advanced indoor positioning systems.

Instituciones: Universidad Nacional de San Agustín de Arequipa