Robust nonlinear processing of active array data in inverse scattering via truncated reduced order models

DOI10.1016/j.jcp.2018.12.021zbMath1451.65136arXiv1805.03747OpenAlexW2801771736WikidataQ118126686 ScholiaQ118126686MaRDI QIDQ2214554

Alexander V. Mamonov, Liliana Borcea, Vladimir Druskin, Mikhail Zaslavsky

Publication date: 9 December 2020

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1805.03747

zbMATH Keywords

model reductionspectral truncationelectromagnetic waveelastic waveacoustic waveinverse scatteringprocessing of sensor data

Mathematics Subject Classification ID

Inverse problems for PDEs (35R30) Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs (65M32) Inverse problems (including inverse scattering) in optics and electromagnetic theory (78A46) Numerical methods for low-rank matrix approximation; matrix compression (65F55)

Related Items (7)

On extension of the data driven ROM inverse scattering framework to partially nonreciprocal arrays ⋮ Waveform Inversion with a Data Driven Estimate of the Internal Wave ⋮ Reduced Order Model Approach to Inverse Scattering ⋮ A reduced order model approach to inverse scattering in lossy layered media ⋮ Lippmann–Schwinger–Lanczos algorithm for inverse scattering problems ⋮ Reduced order models for spectral domain inversion: embedding into the continuous problem and generation of internal data ⋮ Reduced order model approach for imaging with waves

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