Ground-based SAR imaging algorithm based on keystone formatting

Cong Mao, Qian He, Weiming Tian*, Cheng Hu, Tao Zeng

*此作品的通讯作者

科研成果: 会议稿件论文同行评审

2 引用 (Scopus)

摘要

In this paper, a novel imaging algorithm tailored for GB-SAR data is proposed. The characteristics of GB-SAR data are firstly analyzed, and then a signal model (after range compression) is analytically built up. According to this model, our imaging algorithm, based on keystone formatting and range-Doppler domain subblock division, is then put forward, its azimuth focusing is essentially achieved through a space-variant dechirp operation. This algorithm can be widely applied to near-field and far-field as well as wide view angle GB-SAR data sets. Moreover, the computational cost of this algorithm is quite low. The image is formatted in a polar-like coordinate which is well fit for GB-SAR data. The algorithm is extensively validated both with numerical simulations and real GB-SAR data.

源语言英语
出版状态已出版 - 2015
活动IET International Radar Conference 2015 - Hangzhou, 中国
期限: 14 10月 201516 10月 2015

会议

会议IET International Radar Conference 2015
国家/地区中国
Hangzhou
时期14/10/1516/10/15

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