Acceleration of Synthetic Aperture Radar (SAR) Algorithms using Field Programmable Gate Arrays (FPGAs) (Abstract Only)

Abstract

Algorithms for radar signal processing, such as Synthetic Aperture Radar (SAR) are computationally intensive and require considerable execution time on a general purpose processor. Reconfigurable logic can be used to off-load the primary computational kernel onto a custom computing machine in order to reduce execution time by an order of magnitude as compared to kernel execution on a general purpose processor. Specifically, Field Programmable Gate Arrays (FPGAs) can be used to house hardware-based custom implementations of these kernels to speed up these applications. In this paper, we demonstrate a methodology for algorithm acceleration. We used SAR as a case study to illustrate the tremendous potential for algorithm acceleration offered by FPGAs. Initially, we profiled the SAR algorithm and implemented a homomorphic filter using a hardware implementation of the natural logarithm. Experimental results show an average speed-up of 188 when using the FPGA-based hardware accelerator as opposed to using a software implementation running on a typical general purpose processor.