An introduction to factor analysis for radio frequency interference detection on satellite observations

Islam, Tanvir, Srivastava, Prashant K., Dai, Qiang, Gupta, Manika and Zhuo, Lu 2015. An introduction to factor analysis for radio frequency interference detection on satellite observations. Meteorological Applications 22 (3) , pp. 436-443. 10.1002/met.1473

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Abstract

A novel radio frequency interference (RFI) detection method is introduced for satellite-borne passive microwave radiometer observations. This method is based on factor analysis, in which variability among observed and correlated variables is described in terms of factors. In the present study, this method is applied to the Tropical Rainfall Measuring Mission (TRMM)/TRMM Microwave Imager (TMI) and Aqua/Advanced Microwave Scanning Radiometer – Earth Observing System (AMSR-E) satellite measurements over the land surface to detect the RFI signals, respectively, in 10 and 6 GHz channels. The RFI detection results are compared with other traditional methods, such as spectral difference method and principal component analysis (PCA) method. It has been found that the newly proposed method is able to detect RFI signals in the C- and X-band radiometer channels as effectively as the conventional PCA method.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Earth and Environmental Sciences
Publisher:	Royal Meteorological Society
ISSN:	1350-4827
Date of Acceptance:	20 June 2014
Last Modified:	02 Nov 2022 13:30
URI:	https://orca.cardiff.ac.uk/id/eprint/153218

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