On the Use of a Feedback Tracking Architecture for Satellite Navigation Spoofing Detection

In this paper, the Extended Coupled Amplitude Delay Lock Loop (ECADLL) architecture, previously introduced as a solution able to deal with a multipath environment, is revisited and improved to tailor it to spoofing detection purposes. Exploiting a properly-defined decision algorithm, the architectur...

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Main Authors: Esteban Garbin Manfredini, Fabio Dovis
Format: Article
Language:English
Published: MDPI AG 2016-12-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/16/12/2051
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author Esteban Garbin Manfredini
Fabio Dovis
author_facet Esteban Garbin Manfredini
Fabio Dovis
author_sort Esteban Garbin Manfredini
collection DOAJ
description In this paper, the Extended Coupled Amplitude Delay Lock Loop (ECADLL) architecture, previously introduced as a solution able to deal with a multipath environment, is revisited and improved to tailor it to spoofing detection purposes. Exploiting a properly-defined decision algorithm, the architecture is able to effectively detect a spoofer attack, as well as distinguish it from other kinds of interference events. The new algorithm is used to classify them according to their characteristics. We also introduce the use of a ratio metric detector in order to reduce the detection latency and the computational load of the architecture.
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spelling doaj.art-47e3ed18307d416c9ffd4b2b53848aed2022-12-22T02:57:16ZengMDPI AGSensors1424-82202016-12-011612205110.3390/s16122051s16122051On the Use of a Feedback Tracking Architecture for Satellite Navigation Spoofing DetectionEsteban Garbin Manfredini0Fabio Dovis1Department of Electronics and Telecommunications, Politecnico di Torino, Torino 10129, ItalyDepartment of Electronics and Telecommunications, Politecnico di Torino, Torino 10129, ItalyIn this paper, the Extended Coupled Amplitude Delay Lock Loop (ECADLL) architecture, previously introduced as a solution able to deal with a multipath environment, is revisited and improved to tailor it to spoofing detection purposes. Exploiting a properly-defined decision algorithm, the architecture is able to effectively detect a spoofer attack, as well as distinguish it from other kinds of interference events. The new algorithm is used to classify them according to their characteristics. We also introduce the use of a ratio metric detector in order to reduce the detection latency and the computational load of the architecture.http://www.mdpi.com/1424-8220/16/12/2051signal processingGNSS receiverspoofing detectionclassification algorithm
spellingShingle Esteban Garbin Manfredini
Fabio Dovis
On the Use of a Feedback Tracking Architecture for Satellite Navigation Spoofing Detection
Sensors
signal processing
GNSS receiver
spoofing detection
classification algorithm
title On the Use of a Feedback Tracking Architecture for Satellite Navigation Spoofing Detection
title_full On the Use of a Feedback Tracking Architecture for Satellite Navigation Spoofing Detection
title_fullStr On the Use of a Feedback Tracking Architecture for Satellite Navigation Spoofing Detection
title_full_unstemmed On the Use of a Feedback Tracking Architecture for Satellite Navigation Spoofing Detection
title_short On the Use of a Feedback Tracking Architecture for Satellite Navigation Spoofing Detection
title_sort on the use of a feedback tracking architecture for satellite navigation spoofing detection
topic signal processing
GNSS receiver
spoofing detection
classification algorithm
url http://www.mdpi.com/1424-8220/16/12/2051
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