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arXiv 1603.00263astro-ph.IM
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使用稀疏DoA估计框架校准无线电干涉仪

Calibration of Radio Interferometers Using a Sparse DoA Estimation Framework

Martin Brossard, Mohamed Nabil El Korso, Marius Pesavento, Rémy Boyer, Pascal Larzabal

摘要:

现代无线电干涉仪的校准是一个重大挑战,特别是在低频。在这个角度来看,我们提出了一种新的迭代校准算法,它采用流行的稀疏表示框架,在政权的传播条件转移不同的方向的来源。更准确地说,我们的算法被设计为估计校准源的视在方向,它们的功率,阵列元件的方向性和非方向性的复杂增益和它们的噪声功率,具有合理的计算复杂度。数值模拟表明,该方案是统计有效的低信噪比,甚至与额外的非校准源在未知的方向。

英文摘要:

The calibration of modern radio interferometers is a significant challenge, specifically at low frequencies. In this perspective, we propose a novel iterative calibration algorithm, which employs the popular sparse representation framework, in the regime where the propagation conditions shift dissimilarly the directions of the sources. More precisely, our algorithm is designed to estimate the apparent directions of the calibration sources, their powers, the directional and undirectional complex gains of the array elements and their noise powers, with a reasonable computational complexity. Numerical simulations reveal that the proposed scheme is statistically efficient at low SNR and even with additional non-calibration sources at unknown directions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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