A 3D Source Fingerprinting-Based Localization System

Nadia Aloui,Youssef Serrestou,Kosai Raoof

doi:10.4236/jcc.2018.61021

Nadia Aloui, Youssef Serrestou + Show 1 more

Open Access

https://doi.org/10.4236/jcc.2018.61021

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Abstract

In recent years, indoor localization becomes more and more essential in our daily life thanks to its interesting applications that cover all domains including security, tourism. Unfortunately, the existing outdoor localization systems fails in indoor environment, which has motivated researchers to develop new localization systems that challenge the indoor environments. In our work, we propose a 3D fingerprinting-based localization system that estimates a source position using acoustic signals. The latter has the advantage of being used in almost roaming devices. No dedicated infrastructure is necessary and the existing infrastructures can then be reused for indoor purposes. The proposed system has been evaluated in experimental tests in an area of dimensions 1.5 m * 1.5 m * 2 m when four microphones were placed at known positions and an artificial fan is turned on. Results show that turbulence affects the precision of estimating the source position by 7% for an accuracy of 8.5 cm.

Highlights

Localization was restricted to military applications and aimed to estimate the enemy position
We propose a 3D fingerprinting-based localization system that estimates a source position using acoustic signals
We propose a 3D source localization system that is based on the fingerprinting technique and that employs four receivers placed at known positions

Summary

Introduction

Localization was restricted to military applications and aimed to estimate the enemy position. The Global Positioning System (GPS) was only used by the US Army. Localization services are accessible to civilian users and the GPS becomes the most popular localization systems thanks to its coverage and its performance. It fails indoors due to the lack of the line of sight and the presence of multipaths that characterize the indoor environments. Several indoor localization systems have been proposed.

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