Modified approach to PGA phase averaging for ISAR autofocus

Yuan He*, Mei Guo Gao, Tuo Fu

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)91-95
页数5
期刊Journal of Beijing Institute of Technology (English Edition)
12
SUPPL.
出版状态已出版 - 12月 2003

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