Impact of array calibration on RFI mitigation

G. Hellbourg, K. Abed-Meraim, R. Weber
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引用次数: 2

Abstract

Phased array radio telescopes allow for the filtering of Radio Frequency Interference (RFI) in the spatial domain. Spatial filters are advantageous in radio astronomy when the separation between RFI and astronomical sources cannot be made in the time or frequency domains. Consequently, the mitigation of the RFI relies on the quality of its spatial signature vector (SSV) estimation. The latter depends on the array calibration information which is investigated in this work. More precisely, by using the Cramér-Rao Bound (CRB) tool, we evaluate the astronomical source power estimation error variance in presence of RFI for different array calibration scenarios corresponding to perfectly calibrated, direction-independent uncalibrated and direction-dependent uncalibrated array cases. In addition, we consider in this study the case where only the data covariance information is available and investigate the loss of performance due to the missing data with respect to different system parameters.
阵列校准对RFI缓解的影响
相控阵射电望远镜允许在空间域中过滤射频干扰(RFI)。空间滤波器在射电天文学中是有利的,当RFI和天文源之间的分离不能在时间或频率域进行。因此,RFI的缓解依赖于其空间签名向量(SSV)估计的质量。后者依赖于本工作中研究的阵列校准信息。更准确地说,我们利用cram - rao边界(CRB)工具,评估了RFI存在下不同阵列校准场景下的天文源功率估计误差方差,分别对应于完全校准、方向无关的未校准和方向相关的未校准阵列。此外,我们在本研究中考虑了只有数据协方差信息可用的情况,并调查了由于相对于不同系统参数的数据丢失而导致的性能损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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