Reference : Radio Frequency Interference Mitigation via Nonnegative Matrix Factorization for GNSS

	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/52981

Title :	Radio Frequency Interference Mitigation via Nonnegative Matrix Factorization for GNSS
Language :	English
Author, co-author :	Silva, Felipe Barboza [Macquarie University]
	Cetin, Ediz [Macquarie University]
	Alves Martins, Wallace [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Publication date :	2022
Journal title :	IEEE Transactions on Aerospace and Electronic Systems
Publisher :	Institute of Electrical and Electronics Engineers (IEEE)
Peer reviewed :	Yes
Audience :	International
ISSN :	0018-9251
e-ISSN :	1557-9603
City :	Piscataway
Country :	United States - New Jersey
Keywords :	[en] Global navigation satellite systems ; interference mitigation ; nonnegative matrix factorization
Abstract :	[en] A radio frequency interference (RFI) mitigation approach based on nonnegative matrix factorization (NMF) for global navigation satellite systems (GNSS) signals is proposed. The proposed approach employs NMF to separate the interference from the GNSS signals, and it can be deployed in a supervised or semi-blind manner. The supervised NMF framework assumes prior knowledge about the RFI whereas its semi-blind counterpart does not require any a priori information about the RFI. Results indicate that both schemes are able to mitigate narrow and wideband RFI signals, outperforming Kalman, notch filter and wavelet-based techniques, enabling GNSS signal acquisition even in scenarios where the interference is 50 dB stronger than the GNSS signals. In addition, the proposed approach is able to mitigate multiple, different types of RFI corrupting the received GNSS signal.
Permalink :	http://hdl.handle.net/10993/52981

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