Indoor Location Sensing Using Smartphone Acoustic System

Impact of interferences on the performance of acoustic indoor location system

Bachelor thesis (2023)

Authors

F.K. Biliński Electrical Engineering, Mathematics and Computer Science

Contributors

Q. Song Embedded Systems - EEMCS (mentor)
Jorge Martinez (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2023 Filip Biliński
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Published Date

30-06-2023

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Indoor localization is an actively researched field due to there not being a universal solution found yet. Applications of such systems include but are not limited to indoor wayfinding and automated tour guides. In previous years multiple solutions were proposed. This work looks into the performance of an indoor location sensing system in the presence of background music and tries to improve the accuracy in such a scenario. To achieve that a denoising autoencoder is proposed as a preprocessing step aiming to remove the noise from the fingerprints used for localization. In the end, it is shown that the use of such a technique introduces a tradeoff between an accuracy drop in quiet environments but an accuracy increase in environments with music.