Radio frequency interference excision in solar dynamic spectra using variance-based spectral statistics
Document Type
Conference Proceeding
Publication Date
9-16-2008
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. ©2008 IEEE.
Identifier
51449123046 (Scopus)
ISBN
[1424414849, 9781424414840]
Publication Title
ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings
External Full Text Location
https://doi.org/10.1109/ICASSP.2008.4518445
ISSN
15206149
First Page
3657
Last Page
3660
Recommended Citation
Wang, Xiaoli; Ge, Hongya; Nita, Gelu M.; and Gary, Dale E., "Radio frequency interference excision in solar dynamic spectra using variance-based spectral statistics" (2008). Faculty Publications. 12675.
https://digitalcommons.njit.edu/fac_pubs/12675