References of "Silva, Felipe Barboza"
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See detailInterference Mitigation via NMF for Radio Astronomy Applications: A Feasibility Study
Silva, Felipe Barboza; Cetin, Ediz; Alves Martins, Wallace UL et al

in 15th International Conference on Sensing Technology (ICST), Sydney 5-7 December 2022 (2022)

This work assesses the feasibility of using nonnegative matrix factorization (NMF) for radio frequency interference (RFI) mitigation in radio astronomy applications. Two NMF-based mitigation approaches ... [more ▼]

This work assesses the feasibility of using nonnegative matrix factorization (NMF) for radio frequency interference (RFI) mitigation in radio astronomy applications. Two NMF-based mitigation approaches are proposed, one using RFI frequency information extracted from the received signals and the other using an RFI template. The suitability and efficacy of these approaches are evaluated by targeting automatic dependent surveillance-broadcast (ADS-B) RFI using data collected from the Parkes radio telescope in Australia. Results show that the proposed approaches can mitigate the RFI with minimal degradation to the underlying observation of a double pulsar, and without discarding any received data, indicating the applicability of NMF-based approaches as potential RFI mitigation tools in radio astronomy applications. [less ▲]

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See detailRadio Frequency Interference Mitigation via Nonnegative Matrix Factorization for GNSS
Silva, Felipe Barboza; Cetin, Ediz; Alves Martins, Wallace UL

in IEEE Transactions on Aerospace and Electronic Systems (2022)

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 ... [more ▼]

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. [less ▲]

Detailed reference viewed: 129 (1 UL)