@inproceedings{1aba1503aa294cd7a5cf50276bfbd35b,
title = "Preconditioned Inverse Source Solutions",
abstract = "For large-scale inverse source problems with millions of unknowns after discretization, iterative linear systems of equations solvers are the method of choice for the solution of the resulting normal linear systems of equations. In order to reduce the related computational workload, a localized and a global preconditioning technique are presented, which speed up the iterative solution process especially for very large and complex inverse source problems. The performance of the pre-conditioning methods is demonstrated based on synthetic and realistic measurement data.",
keywords = "antenna measurements, inverse problems, iterative solver, preconditioner",
author = "Eibert, \{Thomas F.\}",
note = "Publisher Copyright: {\textcopyright} 2022 European Association for Antennas and Propagation.; 16th European Conference on Antennas and Propagation, EuCAP 2022 ; Conference date: 27-03-2022 Through 01-04-2022",
year = "2022",
language = "English",
series = "2022 16th European Conference on Antennas and Propagation, EuCAP 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 16th European Conference on Antennas and Propagation, EuCAP 2022",
}