indoor positioning; database; fingerprinting; FM radio; TV; DVB-T; GSM; cellular; signals of opportunity; software-defined radio; performance evaluation; RSS; CSI; SDR
Abstract :
[en] Ambient indoor localization - an approach that leverages ambient radio signals - has been previously shown to provide promising positioning performance using the globally available infrastructure of FM, TV and cellular stations. However, the need for specialized equipment and laborious data collection constitute a high entry barrier for follow-up studies.
This paper presents AmbiLoc - a dataset of radio signals for ambient indoor localization research. The dataset has been systematically collected in multiple testbeds, including large-scale and multi-floor buildings, over the course of one year. Due to the use of a software-defined radio receiver, raw signal samples in AmbiLoc allow extraction of arbitrary fingerprinting features. The first edition of AmbiLoc, introduced in this paper, includes received signals strength (RSS) fingerprints of FM, TV and GSM signals, along with the relevant metadata (such as weather conditions). The dataset is available online at AmbiLoc.org.
As the first public dataset of ambient localization signals, AmbiLoc provides an easy entry and a common reference for researchers exploring novel indoor localization methods.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Networking Research Group (NetLab)
Disciplines :
Computer science
Author, co-author :
Popleteev, Andrei ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
no
Language :
English
Title :
AmbiLoc: A year-long dataset of FM, TV and GSM fingerprints for ambient indoor localization
Publication date :
September 2017
Event name :
8th International Conference on Indoor Positioning and Indoor Navigation (IPIN-2017)
Event date :
18-09-2017 to 21-09-2017
Main work title :
8th International Conference on Indoor Positioning and Indoor Navigation (IPIN-2017)