DocumentCode :
3286253
Title :
A probabilistic approach to antenna location for large radio telescopes
Author :
Chen, Joe ; Elser, Veit ; Millane, R.P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Canterbury, Christchurch, New Zealand
fYear :
2010
fDate :
8-9 Nov. 2010
Firstpage :
1
Lastpage :
6
Abstract :
The problem of optimizing antenna locations in a radio telescope with a large number of antennas is addressed. An algorithm is developed that first optimizes the probability density function of the antenna positions and this distribution is subsequently sampled. This approach avoids the large number of variables with many antennas. The density function is optimized subject to terrain constraints and the distribution of visibility samples. The optimization is solved by mapping the problem to a phase retrieval problem which is solved using an iterative projection algorithm.
Keywords :
antennas; astronomy computing; iterative methods; probability; radioastronomy; radiotelescopes; antenna location; iterative projection algorithm; large radio telescopes; optimizing antenna locations; phase retrieval problem; probability density function; visibility samples; Antennas; Facsimile; Microstrip; Radio astronomy; Vectors; Radio telescope; antenna; iterative projection algorithm; phase retrieval; radio astronomy; square kilometer array;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Vision Computing New Zealand (IVCNZ), 2010 25th International Conference of
Conference_Location :
Queenstown
ISSN :
2151-2191
Print_ISBN :
978-1-4244-9629-7
Type :
conf
DOI :
10.1109/IVCNZ.2010.6148830
Filename :
6148830
Link To Document :
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