A Modified omega-kappa Algorithm for HS-SAR Small-Aperture Data Imaging

作者：Liang, Yi^*; Huai, Yuanyuan; Ding, Jinshan; Wang, Hongxian; Xing, Mengdao

来源：IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(6): 3710-3721.

DOI：10.1109/TGRS.2016.2525787

• Azimuth resampling
• high-squint synthetic aperture radar (HS-SAR)
• modified omega-kappa algorithm
• small-aperture data
• SPECAN
• wavenumber domain

Due to the skew data support region (DSR) of the 2-D wavenumber spectrum for high-squint synthetic aperture radar (HS-SAR), the conventional omega-kappa algorithm cannot fully utilize the DSR and thus degrades the resolution if simply taking a rectangle region. Meanwhile, for the small-aperture data, direct azimuth imaging in the distance domain will lead to serious aliasing. A modified omega-kappa algorithm is derived in this paper to solve these problems. The maximum usage of DSR is achieved by the coordinate rotation. As for the azimuth dependence, the method of azimuth resampling is used to get the uniform focusing. Different from the traditional omega-kappa method, the modified omega-kappa algorithm focuses the small-aperture data in the azimuth wavenumber domain by SPECAN processing, which avoids padding a large number of zeros when imaging in the azimuth distance domain. Simulated and real-data results show the validity and effectiveness of the presented algorithm.

• 出版日期2016-6
• 单位西安电子科技大学