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
Link To Document :
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