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Quantization and sampling effects on microwave radiometry RFI mitigation algorithms

Author
Diez, R.; Camps, A.
Type of activity
Presentation of work at congresses
Name of edition
2019 IEEE International Geoscience and Remote Sensing Symposium
Date of publication
2019
Presentation's date
2019-07-29
Book of congress proceedings
2019 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 28-August 2, 2019: Yokohama, Japan
First page
4447
Last page
4450
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
10.1109/IGARSS.2019.8898417
Repository
http://hdl.handle.net/2117/178014 Open in new window
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8898417&isnumber=8897702 Open in new window
Abstract
Radio Frequency Interference (RFI) is an increasing problem in Microwave Radiometry, particularly for Earth Observation. It has been observed at L-band in ESA's SMOS (Soil Moisture and Ocean Salinity) Earth Explorer mission, as well as in NASA's SMAP (Soil Moisture Active and Passive) and Aquarius missions, as well as in AMSR-E and WindSat missions at 10.7 GHz and 18.7 GHz [1]. Therefore, dedicated on-board systems are a must to detect and remove contaminated measurements, improve the radiometri...
Citation
Diez, R.; Camps, A. Quantization and sampling effects on microwave radiometry RFI mitigation algorithms. A: IEEE International Geoscience and Remote Sensing Symposium. "2019 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 28-August 2, 2019: Yokohama, Japan". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 4447-4450.
Keywords
Interference Mitigation, Interferometry, Microwave, Quantization, RFI, Radiometry, Sampling
Group of research
CommSensLab-UPC - Centre Específic de Recerca en Comunicació i Detecció UPC
RSLAB - Remote Sensing Lab

Participants