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Base Band Data for Testing Interference Mitigation Algorithms

Published online by Cambridge University Press:  05 March 2013

Jon F. Bell*
Affiliation:
CSIRO ATNF, PO Box 76, Epping, NSW 1710, Australia
Peter J. Hall
Affiliation:
CSIRO ATNF, PO Box 76, Epping, NSW 1710, Australia
Warwick E. Wilson
Affiliation:
CSIRO ATNF, PO Box 76, Epping, NSW 1710, Australia
Robert J. Sault
Affiliation:
CSIRO ATNF, PO Box 76, Epping, NSW 1710, Australia
Rick J. Smegal
Affiliation:
SETI Institute, 2035 Landings Drive, Mountain View, CA 94043USA
Malcolm R. Smith
Affiliation:
CSIRO ATNF, PO Box 76, Epping, NSW 1710, Australia
Willem van Straten
Affiliation:
Swinburne University Astrophysics and Supercomputing Centre, PO Box 218, Hawthorn, Vic. 3122, Australia
Michael J. Kesteven
Affiliation:
CSIRO ATNF, PO Box 76, Epping, NSW 1710, Australia
Richard H. Ferris
Affiliation:
CSIRO ATNF, PO Box 76, Epping, NSW 1710, Australia
Frank H. Briggs
Affiliation:
Kapteyn Astronomical Institute, University of Groningen, Postbus 800 9700 AV, Groningen, The Netherlands
Graham J. Carrad
Affiliation:
CSIRO ATNF, PO Box 76, Epping, NSW 1710, Australia
Malcom W. Sinclair
Affiliation:
CSIRO ATNF, PO Box 76, Epping, NSW 1710, Australia
Russell G. Gough
Affiliation:
CSIRO ATNF, PO Box 76, Epping, NSW 1710, Australia
John M. Sarkissian
Affiliation:
CSIRO ATNF, PO Box 76, Epping, NSW 1710, Australia
John D. Bunton
Affiliation:
CSIRO TIP, PO Box 76, Epping, NSW 1710, Australia
Matthew Bailes
Affiliation:
Swinburne University Astrophysics and Supercomputing Centre, PO Box 218, Hawthorn, Vic. 3122, Australia
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Abstract

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Digital signal processing is one of many valuable tools for suppressing unwanted signals or inter-ference. Building hardware processing engines seems to be the way to best implement some classes of interference suppression but is, unfortunately, expensive and time-consuming, especially if several miti-gation techniques need to be compared. Simulations can be useful, but are not a substitute for real data. CSIRO’s Australia Telescope National Facility has recently commenced a ‘software radio telescope’ project designed to fill the gap between dedicated hardware processors and pure simulation. In this approach, real telescope data are recorded coherently, then processed offline. This paper summarises the current contents of a freely available database of base band recorded data that can be used to experiment with signal processing solutions. It includes data from the following systems: single dish, multi-feed receiver; single dish with reference antenna; and an array of six 22 m antennas with and without a reference antenna. Astronomical sources such as OH masers, pulsars and continuum sources subject to interfering signals were recorded. The interfering signals include signals from the US Global Positioning System (GPS) and its Russian equivalent (GLONASS), television, microwave links, a low-Earth-orbit satellite, various other transmitters, and signals leaking from local telescope systems with fast clocks. The data are available on compact disk, allowing use in general purpose computers or as input to laboratory hardware prototypes.

Type
Research Article
Copyright
Copyright © Astronomical Society of Australia 2001

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