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