| Improvement of ISAR Autofocusing Performance Based on PGA |
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Kwan Sung Kim, Eun Jung Yang, Chan Hong Kim, Sung Chul Park |
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The 3rd Research and Development Institute, Agency for Defense Development |
| PGA(Phase Gradient Autofocus)기반 ISAR영상 자동초점기법 성능개선 |
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김관성, 양은정, 김찬홍, 박성철 |
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국방과학연구소 제3기술연구본부 |
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| Abstract |
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PGA(phase gradient autofocus) has been widely used to remove motion induced phase errors in the ISAR(inverse synthetic aperture radar) imaging. The critical process for the processing time and image quality is windowing stage in PGA. In this paper, the new method to determine window size based on polynomial least square approximation is proposed. Moreover, dominant range bins are selected for efficient phase error estimation, which improve image quality and speed up convergence. The simulation results show that the proposed algorithm provides high quality ISAR images while computational efficiency of inherent PGA is retained. |
| Key Words:
ISAR, Phase Gradient Autofocus, Non-Cooperative Target Reognition, Scatterer |
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