DocumentCode
3348303
Title
Evaluation of the kurtosis algorithm in detecting radio frequency interference from multiple sources
Author
Misra, Sidharth ; De Roo, Roger ; Ruf, Christopher
Author_Institution
Dept. of Atmos., Oceanic & Space Sci., Univ. of Michigan, Ann Arbor, MI, USA
fYear
2010
fDate
25-30 July 2010
Firstpage
2019
Lastpage
2022
Abstract
A few of the issues faced by the kurtosis detection algorithm on recent field campaigns is discussed here. The performance of the kurtosis algorithm in detecting multiple-source Radio Frequency Interference (RFI) is characterized. A new RFI statistical model is presented in the paper to take into account the behavior of RFI sources under a large foot-print. Results indicate the behavior of the kurtosis ratio under central-limit conditions due to large number of RFI sources.
Keywords
radiofrequency interference; statistical analysis; RFI statistical model; kurtosis algorithm evaluation; kurtosis detection algorithm; multiple-source radio frequency interference detection; Detection algorithms; Detectors; L-band; Microwave radiometry; Radiofrequency interference; Remote sensing; Microwave radiometer; interference; kurtosis; radio frequency;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location
Honolulu, HI
ISSN
2153-6996
Print_ISBN
978-1-4244-9565-8
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2010.5652321
Filename
5652321
Link To Document