Detection of radio-frequency interference in microwave radiometers using spectral kurtosis

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Abstract

This paper describes the spectral kurtosis detector as an additional indicator for radio frequency interference, RFI in passive remote sensing systems. The estimator is based on continuous Fast Fourier Transformation of samples, followed by evaluation of each frequency bin in subsequent data blocks, using a kurtosis estimator. The spectral kurtosis response is simulated and tested in a laboratory setup for various RFI types, and the estimator response is evaluated and compared to the response of the traditional time domain kurtosis estimator. Results show that great benefits of spectral kurtosis is reached for continuous wave RFI or for RFI with high duty-cycle compared to the radiometer integration time. Typically the spectral kurtosis is superior for duty-cycles above 15%, while standard kurtosis is more efficient for lower duty-cycles, down to a few percent. In combination, the two estimators provide a very good indicator for most RFI types.
Original languageEnglish
Title of host publicationIEEE International Geoscience and Remote Sensing Symposium proceedings
PublisherIEEE
Publication date2012
Pages7141-7144
ISBN (Print)9781467311601
DOIs
Publication statusPublished - 2012
EventIEEE International Geoscience and Remote Sensing Symposium: Remote Sensing for a Dynamic Earth - Munich, Germany
Duration: 22 Jul 201227 Jul 2012
http://www.igarss2012.org/

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium
CountryGermany
CityMunich
Period22/07/201227/07/2012
Internet address
SeriesIEEE International Geoscience and Remote Sensing Symposium
ISSN2153-6996

Cite this

Søbjærg, S. S., Svoboda, J., Balling, J. E., & Skou, N. (2012). Detection of radio-frequency interference in microwave radiometers using spectral kurtosis. In IEEE International Geoscience and Remote Sensing Symposium proceedings (pp. 7141-7144). IEEE. IEEE International Geoscience and Remote Sensing Symposium https://doi.org/10.1109/IGARSS.2012.6352016