Abstract
We consider very high-resolution inverse synthetic aperture radar (ISAR) imaging of noncooperative objects exhibiting challenging unknown motions using the time domain back-projection algorithm for image reconstruction. We propose a contrast optimization approach for the data-driven motion compensation problem, in which a novel approach using the derivatives of the loss function is utilized in the optimization. The translation and the rotation of the object are estimated simultaneously using first order numerical optimization. In numerical experiments, the proposed optimization approach was able to estimate highly nonlinear translational and rotational motions producing well-focused ISAR images.
| Original language | English |
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| Title of host publication | 12th European Conference on Synthetic Aperture Radar |
| Publisher | VDE |
| Pages | 464-469 |
| Number of pages | 6 |
| ISBN (Print) | 978-3-8007-4636-1 |
| Publication status | Published - Jun 2018 |
| Publication type | A4 Article in conference proceedings |
| Event | European Conference on Synthetic Aperture Radar - Aachen, Germany Duration: 4 Jun 2018 → 7 Jun 2018 |
Conference
| Conference | European Conference on Synthetic Aperture Radar |
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| Country/Territory | Germany |
| City | Aachen |
| Period | 4/06/18 → 7/06/18 |
Publication forum classification
- Publication forum level 1