Title :
A Simplified Calculation of the Kurtosis for RFI Detection
Author :
De Roo, Roger D.
Author_Institution :
Dept. of Atmos., Oceanic, & Space Sci., Univ. of Michigan, Ann Arbor, MI, USA
Abstract :
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.
Keywords :
geophysical techniques; radiofrequency interference; radiometry; statistical analysis; thermal noise; RFI detection; brightness; geophysical parameters; microwave radiometers; radio-frequency interference; radiometer data download requirements; simplified kurtosis calculation; thermal noise; Data communication; data compression; detectors; digital radio; interference suppression; microwave radiometry;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2009.2031105
