A Novel Azimuth Super-Resolution Method by Synthesizing Azimuth Bandwidth of Multiple Tracks of Airborne Stripmap SAR Data.
Azimuth resolution of airborne stripmap synthetic aperture radar (SAR) is restricted by the azimuth antenna size. Conventionally, a higher azimuth resolution should be achieved by employing alternate modes that steer the beam in azimuth to enlarge the synthetic antenna aperture. However, if a data set of a certain region, consisting of multiple tracks of airborne stripmap SAR data, is available, the azimuth resolution of specific small region of interest (ROI) can be conveniently improved by a novel azimuth super-resolution method as introduced by this paper. The proposed azimuth super-resolution method synthesize the azimuth bandwidth of the data selected from multiple discontinuous tracks and contributes to a magnifier-like function with which the ROI can be further zoomed in with a higher azimuth resolution than that of the original stripmap images. Detailed derivation of the azimuth super-resolution method, including the steps of two-dimensional dechirping, residual video phase (RVP) removal, data stitching and data correction, is provided. The restrictions of the proposed method are also discussed. Lastly, the presented approach is evaluated via both the single- and multi-target computer simulations.
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China. yan_wang@mail.tsinghua.edu.cn.
Yan
Y
Wang
School of Electronic and Information Engineering, Beihang University, Beijing 100191, China. lijingwen@buaa.edu.cn.
Jingwen
J
Li
School of Electronic and Information Engineering, Beihang University, Beijing 100191, China. bingsun@buaa.edu.cn.
Bing
B
Sun
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China. yangjian_ee@mail.tsinghua.edu.cn.
Jian
J
Yang
airborne stripmap SAR; azimuth super-resolution; bandwidth synthesization; multiple tracks