A Network-based GNSS Structural Interference Detection, Classification and Source Localization

Ali Broumandan, Ali Jafarnia-Jahromi, Saeed Daneshmand, Gérard Lachapelle

Peer Reviewed

Abstract:	GNSS receivers are highly susceptible to structural interference sources such as spoofing and meaconing. Recent spoofing detection and mitigation methods are mainly designed to detect and neutralize a spoofing attack based on a stand-alone GNSS receiver processing. However, in many applications a communication link might exist among different receivers operating in the vicinity of each other that can help the countermeasure process. This paper proposes a network-based antispoofing receiver architecture that uses spatially distributed receivers (operating within a radius of few kms) connected to a Central Authenticity Verification (CAV) unit. The essence of this method is that the CAV unit receives simultaneous measurements from adjacent receivers and detects a spoofing attack, classifies authentic and spoofing signals based on the measurements received and then localizes the spoofer source. Practical consideration and limitation factors have been discussed. Some experimental results are provided to demonstrate the applicability of the proposed method.
Published in:	Proceedings of the 28th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2015) September 14 - 18, 2015 Tampa Convention Center Tampa, Florida
Pages:	3358 - 3369
Cite this article:	Broumandan, Ali, Jafarnia-Jahromi, Ali, Daneshmand, Saeed, Lachapelle, Gérard, "A Network-based GNSS Structural Interference Detection, Classification and Source Localization," Proceedings of the 28th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2015), Tampa, Florida, September 2015, pp. 3358-3369.
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