Title :
Sensitivity of the Kurtosis Statistic as a Detector of Pulsed Sinusoidal RFI
Author :
De Roo, Roger D. ; Misra, Sidharth ; Ruf, Christopher S.
Author_Institution :
Univ. of Michigan, Ann Arbor
fDate :
7/1/2007 12:00:00 AM
Abstract :
A new type of microwave radiometer detector that is capable of identifying low-level pulsed radio frequency interference (RFI) has been developed. The Agile Digital Detector can discriminate between RFI and natural thermal emission signals by directly measuring other moments of the signal than the variance that is traditionally measured. The kurtosis is the ratio of the fourth central moment of the predetected voltage to the square of the second central moment. It can be an excellent indicator of the presence of RFI. A number of issues that are related to the proper calculation of the kurtosis are addressed. The mean and standard deviation of the kurtosis, in both the absence and the presence of pulsed sinusoidal RFI, are derived. The kurtosis is much more sensitive to short-pulsed RFI-such as from radars-than to continuous-wave RFI. The minimum detectable power for pulsed sinusoidal RFI is found to be proportional to (M 3 N)-1/4, where N is the number of independent samples and M is the number of frequency subbands in the receiver.
Keywords :
microwave detectors; radiofrequency interference; radiometers; radiometry; Agile Digital Detector; fourth central moment; kurtosis mean; kurtosis standard deviation; kurtosis statistic sensitivity; low level pulsed RFI; microwave radiometer detector; natural thermal emission signals; pulsed sinusoidal RFI detector; radiofrequency interference; second central moment; signal moments; Detectors; Frequency; Microwave radiometry; Pollution measurement; Radiofrequency interference; Sea measurements; Space technology; Spaceborne radar; Statistics; Weather forecasting; Detectors; digital radio; interference suppression; microwave radiometry;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2006.888101