| Autor: |
Kai-Bor Yu, Manuel F. Fernandez |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
2020 IEEE International Radar Conference (RADAR). |
| DOI: |
10.1109/radar42522.2020.9114556 |
| Popis: |
We show how to super-resolve multiple main-beam targets in the presence of interfering signals such as those due to jamming or clutter returns. This is done via low-dimensionality adaptive mappings that insert nulls at the interfering locations while preserving the target-containing spatial-response region of interest. The outputs resulting from applying such mappings to a snapshot of array data are then used to populate a couple of matrices whose generalized eigenvalues provide the super-resolved spatial locations of the main-beam signals of interest. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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