Non-iterative spotlight SAR autofocusing using a modified phase-gradient approach
| Autor: | Chan Hian Lim, Yeo Tat Soon |
|---|---|
| Předmět: |
Synthetic aperture radar
Autofocus Pixel Computer science Aperture Pulse-Doppler radar business.industry Fire-control radar Side looking airborne radar Radar lock-on law.invention Inverse synthetic aperture radar Continuous-wave radar Bistatic radar Radar engineering details law Range gate Radar imaging Interferometric synthetic aperture radar Computer vision Artificial intelligence Radar business Radar horizon Energy (signal processing) |
| Zdroj: | Scopus-Elsevier |
| Popis: | The phase-gradient autofocus (PGA) technique is robust over a wide range of imagery and phase error functions but the convergence usually requires 4-6 iterations. The authors propose to speed up the estimation convergence by selectively increasing the pool of quality synchronisation sources and not to be limited by the range pixels of the SAR map. This is highly probable since each range bin contains more than 1 prominent scatterers across the integration aperture. It is also highly probable that the least brightest selected scatterer in a range gate may turn out to be of higher energy as compared to the maximum brightest scatterer of another gate. With appropriate target filtering to finally select the quality scatterers out of the large pool and higher-order phase error measurement tool, the new algorithm achieves near convergence quality without iteration. The authors named this solution the Quality PGA algorithm (QPGA). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|