Title
A Moment Ratio RFI Detection Algorithm That Can Detect Pulsed Sinusoids of Any Duty Cycle
Abstract
The kurtosis statistic is an effective detector of pulsed sinusoidal radio frequency interference (RFI) in a microwave radiometer, but it fails to detect RFI when the pulsed sinusoid is present for exactly half of the integration period. That is, the kurtosis is blind at an RFI duty cycle of 50%. In this letter, we explore the possibilities of using a higher order statistic to eliminate this detection blind spot in the kurtosis statistic and to improve RFI detection performance. The sixth-order statistic does have sensitivity at an RFI duty cycle of 50%, but sensitivity is relatively low. In addition, it has a sensitivity comparable with the kurtosis for short duty cycle RFI, under certain circumstances.
Year
DOI
Venue
2010
10.1109/LGRS.2010.2043051
Geoscience and Remote Sensing Letters, IEEE
Keywords
Field
DocType
higher order statistics,interference suppression,radiofrequency interference,radiometry,RFI duty cycle,blind spot detection elimination,higher order statistic,kurtosis statistic,microwave radiometer,moment ratio RFI detection algorithm,pulsed sinusoidal radio frequency interference detection,sixth-order statistic,Detectors,digital radio,interference suppression,microwave radiometry
Digital radio,Statistic,Duty cycle,Higher-order statistics,Electromagnetic interference,Remote sensing,Optics,Acoustics,Order statistic,Detector,Mathematics,Kurtosis
Journal
Volume
Issue
ISSN
7
3
1545-598X
Citations 
PageRank 
References 
3
0.38
10
Authors
2
Name
Order
Citations
PageRank
De Roo, R.D.18011.99
Sidharth Misra220924.38