标题： 具有非对角噪声协方差矩阵的射电天文阵列自校准 显示英文标题

标题： Self-Calibration of Radio Astronomical Arrays With Non-Diagonal Noise Covariance Matrix

摘要： 射电天文学界目前正在建造多个相控阵望远镜。 这些望远镜的校准受到信号协方差的限制，因为来自紧密排列天线的信号协方差对噪声耦合以及大空间尺度上的天空亮度变化非常敏感。 这些效应难以建模且计算成本高。 我们建议使用非对角噪声协方差矩阵进行现象学建模。 参数可以使用加权交替最小二乘（WALS）算法进行估计，该算法在校准参数和附加干扰参数之间迭代。 我们使用低频阵列（LOFAR）原型站的数据证明了我们方法的有效性。 显示英文摘要

摘要： The radio astronomy community is currently building a number of phased array telescopes. The calibration of these telescopes is hampered by the fact that covariances of signals from closely spaced antennas are sensitive to noise coupling and to variations in sky brightness on large spatial scales. These effects are difficult and computationally expensive to model. We propose to model them phenomenologically using a non-diagonal noise covariance matrix. The parameters can be estimated using a weighted alternating least squares (WALS) algorithm iterating between the calibration parameters and the additive nuisance parameters. We demonstrate the effectiveness of our method using data from the low frequency array (LOFAR) prototype station.