High-Resolution SAR Imaging with Azimuth Missing Data Based on Sub-Echo Segmentation and Reconstruction

Due to the substantial electromagnetic interference, radar interruptions, and other factors, SAR system may fail receive valid data in some azimuth areas. This phenomenon is known as Azimuth Missing Data (AMD). If classical imaging algorithms are performed directly using AMD echo, results be defocused or even display false targets, which seriously affects accuracy of image. Thus, we proposed a Sub-echo Segmentation Reconstruction Imaging Algorithm (SSR-AMDIA) solve problem incomplete echo this article. Instead motion compensation step Polar Format algorithm (PFA) recover full from SSR-AMDIA eliminates effect planar approximation PFA expands maximum depth focus (DOF). The raw was first subjected range compression Range Cell Migration Correction (RCMC), after AMD-RCMC divided along direction. Then, constructed series phase functions based on sub-segment echoes guarantee perfect recovery RCMC corresponding sub-scenes. Finally, combined them obtain complete an excellent focused result then obtained via compression. Simulation experimental verified effectiveness algorithm. Furthermore, derived mathematical expressions for two-dimensional DOFs In contrast State-Of-the-Art (SOA) AMDIA, can superior performance larger scope under conditions most cases.