A multisource calibration method for phased array radio telescopes

被引:0
|
作者
Wijnholds, Stefan J. [1 ]
Boonstra, Albert-Jan [1 ]
机构
[1] ASTRON, Oude Hoogeveensedijik 4, NL-7991 PD Dwingeloo, Netherlands
关键词
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
For low frequency observations (< 300 MHz) the radio astronomical community is currently developing a number of new instruments such as the low frequency array (LOFAR), the Mileura wide field array (MWA) and the primeval structure telescope (PaST). These telescopes require new calibration algorithms since phased arrays require an all-sky approach to imaging and calibration. This implies that the calibration will generally have to deal with a multitude of sources. In this paper we will discuss a muldsource calibration method to estimate the gains and phases of the receiving elements without having to solve for the receiver noise powers at the same time. Our method is able to handle arbitrary known source models. We will show that the proposed algorithm is asymptotically efficient by comparing the results from Monte Carlo simulations with the Craimer-Rao bound for the underlying data model.
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收藏
页码:200 / +
页数:2
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