Situational Awareness: Mapping Interference Sources in Real-Time Using a Smartphone App

In the past years, many techniques have been researched and developed to detect and identify the interference sources of Global Navigation Satellite System (GNSS) signals. In this paper, we utilize a simple and portable application to map interference sources in real-time. The results are promising...

Descripción completa

Detalles Bibliográficos
Autores principales: Nguyen, Hong Lam, Troglia Gamba, Micaela, Falletti, Emanuela, Ta, Tung Hai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308801/
https://www.ncbi.nlm.nih.gov/pubmed/30486232
http://dx.doi.org/10.3390/s18124130
_version_ 1783383274199973888
author Nguyen, Hong Lam
Troglia Gamba, Micaela
Falletti, Emanuela
Ta, Tung Hai
author_facet Nguyen, Hong Lam
Troglia Gamba, Micaela
Falletti, Emanuela
Ta, Tung Hai
author_sort Nguyen, Hong Lam
collection PubMed
description In the past years, many techniques have been researched and developed to detect and identify the interference sources of Global Navigation Satellite System (GNSS) signals. In this paper, we utilize a simple and portable application to map interference sources in real-time. The results are promising and show the potential of the crowdsourcing for monitoring and mapping GNSS interference distribution.
format Online
Article
Text
id pubmed-6308801
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-63088012019-01-04 Situational Awareness: Mapping Interference Sources in Real-Time Using a Smartphone App Nguyen, Hong Lam Troglia Gamba, Micaela Falletti, Emanuela Ta, Tung Hai Sensors (Basel) Article In the past years, many techniques have been researched and developed to detect and identify the interference sources of Global Navigation Satellite System (GNSS) signals. In this paper, we utilize a simple and portable application to map interference sources in real-time. The results are promising and show the potential of the crowdsourcing for monitoring and mapping GNSS interference distribution. MDPI 2018-11-26 /pmc/articles/PMC6308801/ /pubmed/30486232 http://dx.doi.org/10.3390/s18124130 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Nguyen, Hong Lam
Troglia Gamba, Micaela
Falletti, Emanuela
Ta, Tung Hai
Situational Awareness: Mapping Interference Sources in Real-Time Using a Smartphone App
title Situational Awareness: Mapping Interference Sources in Real-Time Using a Smartphone App
title_full Situational Awareness: Mapping Interference Sources in Real-Time Using a Smartphone App
title_fullStr Situational Awareness: Mapping Interference Sources in Real-Time Using a Smartphone App
title_full_unstemmed Situational Awareness: Mapping Interference Sources in Real-Time Using a Smartphone App
title_short Situational Awareness: Mapping Interference Sources in Real-Time Using a Smartphone App
title_sort situational awareness: mapping interference sources in real-time using a smartphone app
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308801/
https://www.ncbi.nlm.nih.gov/pubmed/30486232
http://dx.doi.org/10.3390/s18124130
work_keys_str_mv AT nguyenhonglam situationalawarenessmappinginterferencesourcesinrealtimeusingasmartphoneapp
AT trogliagambamicaela situationalawarenessmappinginterferencesourcesinrealtimeusingasmartphoneapp
AT fallettiemanuela situationalawarenessmappinginterferencesourcesinrealtimeusingasmartphoneapp
AT tatunghai situationalawarenessmappinginterferencesourcesinrealtimeusingasmartphoneapp

Ejemplares similares