DocumentCode :
3020690
Title :
SMAP RFI mitigation algorithm performance characterization using airborne high-rate direct-sampled SMAPVEX 2012 data
Author :
Misra, Sudip ; Johnson, Jamie ; Aksoy, Mustafa ; Jinzheng Peng ; Bradley, D. ; O´Dwyer, Ian ; Padmanabhan, Sharmila ; Dawson, Daniel ; Chazanoff, Seth ; Latham, Barron ; Gaier, Todd ; Flores-Helizon, Caroline ; Denning, Richard
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
41
Lastpage :
44
Abstract :
The SMAP RFI detecting digital backend performance is characterized using real-environment L-band RFI data from the SMAPVEX 2012 campaign. Various types of RFI signals are extracted from the airborne campaign dataset and fed to the SMAP radiometer using an Arbitrary Waveform Generator (AWG). The backend detection performance is tested, and missed-detections are further investigated. Initial results indicate RFI detection performance for the SMAP digital backend is acceptable.
Keywords :
function generators; radiometers; remote sensing; soil; AWG; RFI detection performance; RFI signal types; SMAP RFI detecting digital backend performance; SMAP RFI mitigation algorithm performance characterization; SMAP digital backend; SMAP radiometer; SMAPVEX 2012 campaign; airborne campaign dataset; airborne high-rate direct-sampled SMAPVEX 2012 data; arbitrary waveform generator; backend detection performance; missed-detections; real-environment L-band RFI data; soil moisture active passive mission; Detection algorithms; Extraterrestrial measurements; L-band; Microwave radiometry; Remote sensing; Sea measurements; Microwave radiometer; SMAP; radio frequency interference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6721087
Filename :
6721087
Link To Document :
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