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

Volume

7

Issue

3

fYear

2010

fDate

7/1/2010 12:00:00 AM

Firstpage

606

Lastpage

610

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;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2010.2043051

Filename

5437197