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

Xiaoli Wang; Hongya Ge; Gelu Nita; Dale Gary

doi:10.1109/ICASSP.2008.4518445

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

Xiaoli Wang, Hongya Ge, Gelu Nita, Dale Gary

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages	3657-3660
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2008.4518445
State	Published - Sep 16 2008
Event	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States Duration: Mar 31 2008 → Apr 4 2008

Other

Other	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Country/Territory	United States
City	Las Vegas, NV
Period	3/31/08 → 4/4/08

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Signal Processing
Acoustics and Ultrasonics

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10.1109/ICASSP.2008.4518445

Cite this

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title = "Radio frequency interference excision in solar dynamic spectra using variance-based spectral statistics",

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.",

author = "Xiaoli Wang and Hongya Ge and Gelu Nita and Dale Gary",

year = "2008",

month = sep,

day = "16",

doi = "10.1109/ICASSP.2008.4518445",

language = "English (US)",

isbn = "1424414849",

pages = "3657--3660",

booktitle = "2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP",

note = "2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP ; Conference date: 31-03-2008 Through 04-04-2008",

}

Wang, X, Ge, H , Nita, G & Gary, D 2008, Radio frequency interference excision in solar dynamic spectra using variance-based spectral statistics. in 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP., 4518445, pp. 3657-3660, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Las Vegas, NV, United States, 3/31/08. https://doi.org/10.1109/ICASSP.2008.4518445

TY - GEN

T1 - Radio frequency interference excision in solar dynamic spectra using variance-based spectral statistics

AU - Wang, Xiaoli

AU - Ge, Hongya

AU - Nita, Gelu

AU - Gary, Dale

PY - 2008/9/16

Y1 - 2008/9/16

N2 - 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.

AB - 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.

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U2 - 10.1109/ICASSP.2008.4518445

DO - 10.1109/ICASSP.2008.4518445

M3 - Conference contribution

AN - SCOPUS:51449123046

SN - 1424414849

SN - 9781424414840

SP - 3657

EP - 3660

BT - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP

T2 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP

Y2 - 31 March 2008 through 4 April 2008

ER -

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

Abstract

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