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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5652321
