Digital back-end for RFI detection and mitigation in microwave radiometers

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dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor	Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.contributor.author	Forte Veliz, Giuseppe Francesco
dc.contributor.author	Camps Carmona, Adriano José
dc.contributor.author	Ramos, I.
dc.contributor.author	Vall-Llossera Ferran, Mercedes Magdalena
dc.date	2012
dc.identifier.citation	Forte, G. [et al.]. Digital back-end for RFI detection and mitigation in microwave radiometers. A: IEEE International Geoscience and Remote Sensing Symposium. "IGARSS 2012: International Geoscience and Remote Sensing Symposium". Munich: Institute of Electrical and Electronics Engineers (IEEE), 2012, p. 2953-2955.
dc.identifier.citation	978-1-4673-1159-5
dc.identifier.citation	10.1109/IGARSS.2012.6350706
dc.identifier.uri	http://hdl.handle.net/2117/18759
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6350706
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica
dc.subject	Microwave devices
dc.subject	Radiation -- Measurement
dc.subject	Radiometry
dc.subject	RFI-mitigation
dc.subject	Wavelet
dc.subject	Dispositius de microones
dc.subject	Radiació -- Mesurament
dc.title	Digital back-end for RFI detection and mitigation in microwave radiometers
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Radio-frequency interference (RFI) is a serious problem in microwave radiometry. In order to process the received data in real time, a powerful back-end for RFI detection and mitigation system must be implemented. This system includes many techniques against RFI, like time, frequency domain and spectrogram analysis. A wavelet-based RFI-mitigation technique is implemented in hardware. The interfering signal is estimated by using the powerful denoising capabilities of the wavelet transform. Then, this estimate of the RFI signal is subtracted from the total received signal to obtain a RFI-mitigated noise signal. Statistical analysis helps to validate the mentioned methods.
dc.description.abstract	Peer Reviewed

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