Data-driven reduced order models for radar imaging in multi-scattering environments
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.
Authors
- M. Zaslavsky
- Shari Moskow (ORCID: https://orcid.org/0000-0002-8240-7247)
- Vladimir Druskin (ORCID: https://orcid.org/0000-0003-2206-100X)
Institutions
- Worcester Polytechnic Institute (US)
- Southern Methodist University (US)
- Drexel University (US)
Publication Details
- Published
- 2024-08-14
- DOI
- https://doi.org/10.1109/rapid60772.2024.10647055
- Primary Topic
- Advanced SAR Imaging Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Air Force Office of Scientific Research