Next Article in Journal
Model Updating for Nam O Bridge Using Particle Swarm Optimization Algorithm and Genetic Algorithm
Next Article in Special Issue
A Fast ML-Based Single-Step Localization Method Using EM Algorithm Based on Time Delay and Doppler Shift for a Far-Field Scenario
Previous Article in Journal
A Parallel Architecture for the Partitioning around Medoids (PAM) Algorithm for Scalable Multi-Core Processor Implementation with Applications in Healthcare
Previous Article in Special Issue
A Bayesian Density Model Based Radio Signal Fingerprinting Positioning Method for Enhanced Usability
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(12), 4130;

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

Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
Hanoi University of Science and Technology, No. 1 Dai Co Viet, Hanoi 10000, Vietnam
Istituto Superiore Mario Boella (ISMB), Via P.C. Boggio 61, 10138 Torino, Italy
Author to whom correspondence should be addressed.
Received: 28 September 2018 / Revised: 9 November 2018 / Accepted: 19 November 2018 / Published: 26 November 2018
(This article belongs to the Collection Positioning and Navigation)
Full-Text   |   PDF [10215 KB, uploaded 27 November 2018]   |  


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. View Full-Text
Keywords: interference detection; Android; GNSS software receivers interference detection; Android; GNSS software receivers

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Nguyen, H.L.; Troglia Gamba, M.; Falletti, E.; Ta, T.H. Situational Awareness: Mapping Interference Sources in Real-Time Using a Smartphone App. Sensors 2018, 18, 4130.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top