Radio frequency interference excision in solar dynamic spectra using variance-based spectral statistics

In this paper, a radio frequency interference (RFI) excision algorithm using variance-based analysis on power spectral statistics is proposed and tested on the solar data collected from our frequency agile solar radio-telescope (FASR) subsystem test-bed (FST). A threshold approach working on a propo...

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Bibliographic Details
Main Authors: Xiaoli Wang, Hongya Ge, Nita, G.M., Gary, D.E.
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Analysis of variance
Frequency
power spectral estimation
radio frequency interference (RFI)
Radiofrequency identification
Radiofrequency interference
Robustness
Spectral analysis
Statistical analysis
Statistics
Testing
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Summary:In this paper, a radio frequency interference (RFI) excision algorithm using variance-based analysis on power spectral statistics is proposed and tested on the solar data collected from our frequency agile solar radio-telescope (FASR) subsystem test-bed (FST). A threshold approach working on a proposed test statistic tau(x; f ), shown to be F-distributed, is developed to effectively identify the presence of non-Gaussian RFI in the Gaussian solar flare background. Detailed discussions on signal duty cycle and threshold setting are provided. Real-data experimental results are presented to demonstrate the robustness and effectiveness of the proposed algorithm.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2008.4518445