Title :
A Moment Ratio RFI Detection Algorithm That Can Detect Pulsed Sinusoids of Any Duty Cycle
Author :
De Roo, Roger D. ; Misra, Sidharth
Author_Institution :
Dept. of Atmos., Oceanic, & Space Sci., Univ. of Michigan, Ann Arbor, MI, USA
fDate :
7/1/2010 12:00:00 AM
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.
Keywords :
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;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2010.2043051