Conference proceeding
Data-driven reduced order models for radar imaging in multi-scattering environments
2024 IEEE Research and Applications of Photonics in Defense Conference (RAPID), pp 01-02
14 Aug 2024
Abstract
Conventional imaging algorithms for solving the inverse wave problem can be polluted by multiple echoes and other artifacts. We developed an approach, called the Lippmann-Schwinger-Lanczos algorithm, which "absorbs" much of the non-linearity of the classical approach to inverse scattering, thus making the subsequent imaging a lot more straightforward.
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Details
- Title
- Data-driven reduced order models for radar imaging in multi-scattering environments
- Creators
- M. Zaslavsky - Southern Methodist UniversityS. Moskow - Drexel UniversityV. Druskin - Drexel University
- Publication Details
- 2024 IEEE Research and Applications of Photonics in Defense Conference (RAPID), pp 01-02
- Publisher
- IEEE
- Grant note
- DMS-1929284,DMS-2110773,DMS-2008441,DMS-2308200 / NSF (10.13039/100000001) FA955020-1-0079,FA9550-20-1-0079,FA9550-20-1-0079 / AFOSR (10.13039/100000181)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Mathematics
- Scopus ID
- 2-s2.0-85203674612
- Other Identifier
- 991021902601504721