Abstract
A modified approach to phase averaging in phase gradient algorithm is proposed, which is based on the fundamental fact that the information of translational phase error is widely contained in every defocused scatterer in ISAR (inverse synthetic aperture radar) image. The approach aims to choose strong scatterers for error phase averaging with a threshold rather than just simply to pick out the strongest point in each range cell, which is not necessary for real strong scatterers in the case that one range cell consists more than one strong scatterer and another range cell has no scatterer at all. The results of processing real data are presented to confirm the validity of the approach.
| Original language | English |
|---|---|
| Pages (from-to) | 91-95 |
| Number of pages | 5 |
| Journal | Journal of Beijing Institute of Technology (English Edition) |
| Volume | 12 |
| Issue number | SUPPL. |
| Publication status | Published - Dec 2003 |
Keywords
- Autofocus
- Inverse synthetic aperture radar
- Phase averaging
- Phase gradient algorithm
- Point spread function