Effectiveness of the Sixth Moment to Eliminate a Kurtosis Blind Spot in the Detection of Interference in a Radiometer

Author

De Roo, Roger D. ; Misra, Sidharth

Author_Institution

Dept. of Atmos., Oceanic & Space Sci., Univ. of Michigan, Ann Arbor, MI

Volume

2

fYear

2008

fDate

7-11 July 2008

Abstract

The kurtosis statistic is an effective detector of pulsed sinusoidal 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 paper, we explore the possibilities of using a higher order statistic to eliminate this detection blind spot in the kurtosis statistic. The higher order statistic does have sensitivity at an RFI duty cycle of 50%, but sensitivity is relatively low.

Keywords

geophysical signal processing; geophysical techniques; interference suppression; probability; radiofrequency interference; radiometry; remote sensing; statistical analysis; high order statistic; kurtosis blind spot elimination; microwave radiometry; pulsed sinusoidal RFI detection; radiofrequency interference; sixth moment; Detectors; Digital communication; Higher order statistics; Interference elimination; Interference suppression; Microwave radiometry; Ocean temperature; Radiofrequency interference; Temperature sensors; Voltage; Detectors; digital radio; interference suppression; microwave radiometry;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International

Conference_Location

Boston, MA

Print_ISBN

978-1-4244-2807-6

Electronic_ISBN

978-1-4244-2808-3

Type

conf

DOI

10.1109/IGARSS.2008.4778995

Filename

4778995