Local Interpolation-based Polar Format SAR: Algorithm, Hardware Implementation and Design Automation

In this paperwepresent a local interpolation-based variant of the well-known polar format algorithm used for synthetic aperture radar (SAR) image formation.We develop the algorithm to match the capabilities of the applicationspecific logic-in-memory processing paradigm, which offloads lightweight computation directly into the SRAM and DRAM. Our proposed algorithm performs filtering, an image perspective transformation, and a local 2D interpolation and supports partial and low-resolution reconstruction. We implement our customized SAR grid interpolation logic-inmemory hardware in advanced 14nm silicon technology. Our high-level design tools allow to instantiate various optimized design choices to fit image processing and hardware needs of application designers. Our simulation results show that the logic-in-memory approach has the potential to enable substantial improvements in energy efficiency without sacrificing image quality.