DocumentCode
1935221
Title
Distributed correlators for interferometry in space
Author
Rajan, Raj Thilak ; Bentum, M. ; Gunst, A. ; Boonstra, A.
Author_Institution
Nat. Center for Radio Astron., ASTRON, Dwingeloo, Netherlands
fYear
2013
fDate
2-9 March 2013
Firstpage
1
Lastpage
9
Abstract
New and interesting science drivers have triggered a renewed interest in radio astronomy at ultra long wavelengths. However, at longer wavelengths (beyond 10 meters) ground-based radio astronomy is severely limited by earths ionosphere, in addition to man-made interferences and solar flares. An unequivocal solution to the problem is to establish a space based observatory for ultra low frequency (0.3MHz-30MHz) observations. In ground-based radio astronomy, interferometers comprising of widely spaced antennas are employed to enhance the sensitivity and angular resolution of the observations. The signals received from the antennas are pre-processed, phase corrected independently and then cross correlated with one another using a centralized correlator to estimate the coherence function. However, a space based array, in addition to several other obstacles, presents new challenges for both communication and processing. In this paper, we discuss various conventional correlator architectures, such as XF, FX and HFX. In addition, the importance of a distributed correlator is emphasized for a space based array, in particular Frequency distributed correlator. We compute transmission, reception and processing requirements for both centralized and distributed architecture. Finally, as a demonstration, we present 2 projects were these signal processing estimates are applied.
Keywords
UHF antennas; radioastronomy; space vehicle antennas; centralized correlator; coherence function estimation; compute transmission; distributed correlators; earth ionosphere; frequency 0.3 MHz to 30 MHz; ground based radio astronomy; man-made interferences; signal processing estimates; solar flares; ultralong wavelengths; widely spaced antennas; Antennas; Artificial neural networks; Bandwidth; Correlation; Digital signal processing; Earth; Signal resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace Conference, 2013 IEEE
Conference_Location
Big Sky, MT
ISSN
1095-323X
Print_ISBN
978-1-4673-1812-9
Type
conf
DOI
10.1109/AERO.2013.6496932
Filename
6496932
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