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Efficient RFI detection in radio astronomy based on Compressive Statistical Sensing

Abstract: 

In this paper, we present an efficient method for radio frequency interference (RFI) detection based on cyclic spectrum analysis that relies on compressive statistical sensing to estimate the cyclic spectrum from sub-Nyquist data. We refer to this method as compressive statistical sensing (CSS), since we utilize the statistical autocovariance matrix from the compressed data. We demonstrate the performance of this algorithm by analyzing radio astronomy data acquired from the Arecibo Observatory (AO)'s L-Wide band receiver (1.3 GHz), which is typically corrupted by active radars for commercial applications located near AO facilities. Our CSS-based solution enables robust and efficient detection of the RFI frequency bands present in the data, which is measured by receiver operating characteristic (ROC) curves. As a result, it allows fast and computationally efficient identification of RFI-free frequency regions in wideband radio astronomy observations.

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Paper Details

Authors:
Gonzalo Cucho-Padin, Yue Wang, Lara Waldrop, Zhi Tian, Farzad Kamalabadi
Submitted On:
4 December 2018 - 11:04pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Gonzalo Cucho-Padin
Paper Code:
1440
Document Year:
2018
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Document Files

GlobalSIP2018_talk.pdf

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[1] Gonzalo Cucho-Padin, Yue Wang, Lara Waldrop, Zhi Tian, Farzad Kamalabadi, "Efficient RFI detection in radio astronomy based on Compressive Statistical Sensing", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3840. Accessed: Dec. 16, 2018.
@article{3840-18,
url = {http://sigport.org/3840},
author = {Gonzalo Cucho-Padin; Yue Wang; Lara Waldrop; Zhi Tian; Farzad Kamalabadi },
publisher = {IEEE SigPort},
title = {Efficient RFI detection in radio astronomy based on Compressive Statistical Sensing},
year = {2018} }
TY - EJOUR
T1 - Efficient RFI detection in radio astronomy based on Compressive Statistical Sensing
AU - Gonzalo Cucho-Padin; Yue Wang; Lara Waldrop; Zhi Tian; Farzad Kamalabadi
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3840
ER -
Gonzalo Cucho-Padin, Yue Wang, Lara Waldrop, Zhi Tian, Farzad Kamalabadi. (2018). Efficient RFI detection in radio astronomy based on Compressive Statistical Sensing. IEEE SigPort. http://sigport.org/3840
Gonzalo Cucho-Padin, Yue Wang, Lara Waldrop, Zhi Tian, Farzad Kamalabadi, 2018. Efficient RFI detection in radio astronomy based on Compressive Statistical Sensing. Available at: http://sigport.org/3840.
Gonzalo Cucho-Padin, Yue Wang, Lara Waldrop, Zhi Tian, Farzad Kamalabadi. (2018). "Efficient RFI detection in radio astronomy based on Compressive Statistical Sensing." Web.
1. Gonzalo Cucho-Padin, Yue Wang, Lara Waldrop, Zhi Tian, Farzad Kamalabadi. Efficient RFI detection in radio astronomy based on Compressive Statistical Sensing [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3840