Assessment of back-end RFI mitigation techniques in passive remote sensing

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.

URIhttp://hdl.handle.net/2117/84221

DOI10.1109/IGARSS.2015.7326890

ISBN978-1-4799-7929-5

Publisher versionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7326890

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Assessment of back-end RFI mitigation techniques in passive remote sensing

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