TITLE:
A 3D Source Fingerprinting-Based Localization System
AUTHORS:
Nadia Aloui, Kosai Raoof, Youssef Serrestou
KEYWORDS:
3D, Sound Signals, Fingerprinting Technique, Source Location System, Turbulence
JOURNAL NAME:
Journal of Computer and Communications,
Vol.6 No.1,
December
29,
2017
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.