Abstract
In synthetic aperture radar (SAR), low scene-contrast may invalidate most of existing autofocus methods, and the limited autofocus performance is also difficult to be verified. Based on a parametric statistical signal model in the coherent processing interval (CPI) of SAR, a novel SAR autofocus method is developed and it is especially applicable to extremely low-contrast scene. Furthermore, the limitation of CPI length and the Cramér-Rao low bound of autofocus parameter estimation are all analytically obtained. Finally, real measurement data is also exploited to validate the proposed model and the new method.
Original language | English |
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Pages | 50-52 |
Number of pages | 3 |
Publication status | Published - 2004 |
Externally published | Yes |
Event | Proceedings of the IEEE Radar Conference - Philadelphia, PA, United States Duration: 26 Apr 2004 → 29 Apr 2004 |
Conference
Conference | Proceedings of the IEEE Radar Conference |
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Country/Territory | United States |
City | Philadelphia, PA |
Period | 26/04/04 → 29/04/04 |
Keywords
- Coherent processing interval
- Cramer-Rao bound
- Low scene-contrast
- Parametric autofocus
- Synthetic aperture radar