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Radio-Frequency Interference (RFI) is a growing problem
specially for those systems that work with low power signals
such as passive remote sensing instruments. Consequently,
RFI mitigation techniques are currently under development.
This works aims at evaluating back-end mitigation algorithms
in terms of their probability of detection and mitigation performance.
Results show that Wavelet Denoising (WD), and
Multiresolution Fourier Transform (MFT) are the best techniques
in most scenarios, specially for GNSS-based instruments
CitationQuerol, J., Alonso-Arroyo, A., Onrubia, R., Pascual, D., Camps, A. Assessment of back-end RFI mitigation techniques in passive remote sensing. A: IEEE International Geoscience and Remote Sensing Symposium. "2015 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 26–31, 2015: Milan, Italy". Milan: 2015, p. 4746-4749.
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