DocumentCode :
575889
Title :
Aquarius radiometer RFI detection, mitigation and impact assessment
Author :
Ruf, Christopher ; Chen, David ; Le Vine, David ; De Matthaeis, Paolo ; Piepmeier, Jeffrey
Author_Institution :
Univ. of Michigan, Ann Arbor, MI, USA
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
3312
Lastpage :
3315
Abstract :
Performance of the Radio Frequency Interference (RFI) detection and mitigation algorithms used by the Aquarius microwave radiometer is demonstrated on orbit. The detection algorithm makes use of the radiometer´s high over-sampling rate to identify short, pulsed increases in power that are characteristic of radar operating nearby in the microwave spectrum. The over-sampled data are downlinked to the ground, which allows the detection algorithm to be implemented in ground processing. Access to over-sampled data on the ground also enables the mitigation algorithm, which removes samples with detected RFI from subsequent averaging. The mitigation algorithm is shown to remove nearly all detected RFI. The algorithm can also be used to characterize the RFI itself - in particular the probability distribution of its strength and its geolocation. A first look at both characteristics of the RFI are also presented here. As expected, the prevalence and strength of the RFI is found to be much greater over land than ocean. Certain regions of the globe -e.g. in and around Western Europe and Eastern and Southern Asia- have stronger and more frequent RFI.
Keywords :
microwave measurement; oceanographic techniques; radiofrequency interference; radiometers; sampling methods; statistical distributions; Aquarius microwave radiometer; Eastern Asia; RFI characteristics; RFI detection algorithm; RFI mitigation algorithm; Southern Asia; Western Europe; probability distribution; radar operating characteristics; radiofrequency interference; radiometer high over-sampling rate; Brightness temperature; Histograms; Microwave radiometry; Oceans; Radiofrequency interference; Sea measurements; Radio Frequency Interference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6350595
Filename :
6350595
Link To Document :
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