Hyper-spectral Compressive Radio-interferometric Imaging in the SKA era

SKA时代的高光谱压缩射电干涉成像

• 批准号: 1812968
• 金额: --
• 依托单位: Heriot-Watt University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1812968
• 关键词: Hyper; spectral; Compressive; Radio; interferometric

"This is a PhD research project in Electrical Engineering.With the advent of the next-generation radio-interferometric telescopes like the Square Kilometre Array, novel signal processing methods are needed to provide the expected imaging resolution and sensitivity from extreme amounts of hyper-spectral data. In this context, the idea is to propose a convex optimisation problem for hyper-spectral data reconstruction and analyse the possible regularisation priors. Posing the problem as a convex optimisation task based on sparsity priors as a regulariser was shown superior to the conventional radio-interferometric imaging techniques like CLEAN. However, extending these methods is essential to process large-scale data. Efficient and fast solvers for the ill-posed inverse problem related to the image reconstruction need also to be tailored. They should employ parallel and distributed computations to achieve scalability, in terms of memory and computational requirements."

这是一个电气工程博士研究项目。随着像平方公里阵列这样的下一代无线电干涉望远镜的出现，需要新的信号处理方法来从极端数量的高光谱数据中提供预期的成像分辨率和灵敏度。在此背景下，提出了一个用于高光谱数据重建的凸优化问题，并分析了可能的正则化先验。将该问题作为一个基于稀疏性先验的凸优化任务作为正则化算子，比传统的无线电干涉成像技术(如CLEAN)要优越。然而，扩展这些方法对于处理大规模数据是必不可少的。对于与图像重建相关的不适定反问题，还需要定制高效、快速的求解器。他们应该采用并行和分布式计算，以实现内存和计算要求方面的可扩展性。

项目成果

Cygnus A super-resolved via convex optimization from VLA data

Cygnus A 通过 VLA 数据的凸优化进行超解析

• DOI: 10.1093/mnras/sty372
• 发表时间: 2018
• 期刊: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: Dabbech A

A distributed algorithm for wide-band radio-interferometry

宽带无线电干涉测量的分布式算法

• 发表时间: 2017
• 作者: Abdulaziz A

A low-rank and joint-sparsity model for hyper-spectral radio-interferometric imaging

• DOI: 10.1109/eusipco.2016.7760276
• 发表时间: 2016-08
• 期刊: 2016 24th European Signal Processing Conference (EUSIPCO)
• 作者: Abdullah Abdulaziz;A. Dabbech;Alexandru Onose;Y. Wiaux

Wideband super-resolution imaging in Radio Interferometry via low rankness and joint average sparsity models (HyperSARA)

通过低秩和联合平均稀疏模型（HyperSARA）进行无线电干涉测量中的宽带超分辨率成像

• DOI: 10.1093/mnras/stz2117
• 发表时间: 2019
• 期刊: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: Abdulaziz A