High-Precision GPU-Accelerated Simulation Algorithm for Targets under Non-Uniform Cluttered Backgrounds

This article presents a high-precision airborne video synthetic aperture radar (SAR) raw echo simulation method aimed at addressing the issue of accuracy in SAR image generation. The proposed employs separate techniques for simulating targets and ground clutter, utilizing pre-existing images clutter employing shooting bouncing rays (SBR) approach to generate target echoes. Additionally, accounts target-generated shadows enhance realism results. fast algorithm is implemented using C++ programming language Accelerated Massive Parallelism (AMP) framework, providing fusion technique integrating simulations. By combining two types simulated data form final image, achieves efficient accurate technology. Experimental results demonstrate that this not only improves computational speed but also ensures stability outcomes. research holds significant implications development algorithms pertaining detection tracking, robust support practical applications.