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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 T(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.

Original languageEnglish (US)
Title of host publication2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages3657-3660
Number of pages4
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States
Duration: Mar 31 2008Apr 4 2008

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Country/TerritoryUnited States
CityLas Vegas, NV
Period3/31/084/4/08

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Keywords

  • Power spectral estimation
  • Radio frequency interference (RFI)
  • Statistical analysis

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