Reference : Radio Frequency Interference Mitigation via Nonnegative Matrix Factorization for GNSS
Scientific journals : Article
Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
Radio Frequency Interference Mitigation via Nonnegative Matrix Factorization for GNSS
Silva, Felipe Barboza mailto [Macquarie University]
Cetin, Ediz mailto [Macquarie University]
Alves Martins, Wallace mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
IEEE Transactions on Aerospace and Electronic Systems
Institute of Electrical and Electronics Engineers (IEEE)
United States - New Jersey
[en] Global navigation satellite systems ; interference mitigation ; nonnegative matrix factorization
[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.

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