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A Simplified Calculation of the Kurtosis for RFI Detection

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1 Author(s)
De Roo, R.D. ; Dept. of Atmos., Oceanic, & Space Sci., Univ. of Michigan, Ann Arbor, MI, USA

Microwave radiometers detecting geophysical parameters are susceptible to radio-frequency interference (RFI) from anthropogenic sources. The kurtosis statistic can be a powerful means of identifying some types of low-power RFI, as thermal noise has a distinct kurtosis value of three, while thermal noise contaminated even with low-power nonthermal RFI often has other values of kurtosis. This paper presents a method for calculating the kurtosis and brightness that significantly reduces the radiometer data download requirements.

Published in:

Geoscience and Remote Sensing, IEEE Transactions on  (Volume:47 ,  Issue: 11 )

Date of Publication:

Nov. 2009

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