RFI-Aware and Low-Cost Maximum Likelihood Imaging for High-Sensitivity Radio Telescopes

IF 3.2 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
J. Wang;M. N. El Korso;L. Bacharach;P. Larzabal
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引用次数: 0

Abstract

This paper addresses the challenge of interference mitigation and reduction of computational cost in the context of radio interferometric imaging. We propose a novel maximum-likelihood-based methodology based on the antenna sub-array switching technique, which strikes a refined balance between imaging accuracy and computational efficiency. In addition, we tackle robustness regarding radio interference by modeling the additive noise as t-distributed. Through simulation results, we demonstrate the superiority of the t-distributed noise model over the conventional Gaussian noise model in scenarios involving interferences. We evidence that our proposed switching approach yields similar imaging performances with far fewer visibilities compared to the full array configuration, thus, diminishing the computational complexity.
用于高灵敏度射电望远镜的射频干扰感知和低成本最大似然成像技术
本文旨在解决无线电干涉成像中的干扰缓解和计算成本降低问题。我们基于天线子阵列切换技术,提出了一种基于最大似然法的新方法,在成像精度和计算效率之间取得了完美的平衡。此外,我们将加性噪声建模为 t 分布,从而解决了无线电干扰的鲁棒性问题。通过模拟结果,我们证明了在涉及干扰的情况下,t 分布噪声模型优于传统的高斯噪声模型。我们证明,与全阵列配置相比,我们提出的切换方法以更少的可见度获得了类似的成像性能,从而降低了计算复杂度。
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来源期刊
IEEE Signal Processing Letters
IEEE Signal Processing Letters 工程技术-工程:电子与电气
CiteScore
7.40
自引率
12.80%
发文量
339
审稿时长
2.8 months
期刊介绍: The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing. Papers published in the Letters can be presented within one year of their appearance in signal processing conferences such as ICASSP, GlobalSIP and ICIP, and also in several workshop organized by the Signal Processing Society.
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