Ground-based SAR imaging algorithm based on keystone formatting

• Published in: IET Conference Proceedings
• Main Authors: Mao, Cong, He, Qian, Tian, Weiming, Hu, Cheng, Zeng, Tao
• Format: Conference Proceeding
• Language: English
• Published: Stevenage The Institution of Engineering & Technology 14.10.2015
• Subjects: Algorithms; Computer simulation; Imaging; Mathematical models
• ISBN: 1785610384; 9781785610387
• DOI: 10.1049/cp.2015.1391

In this paper, a novel imaging algorithm tailored for GBSAR 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.